229 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Nivea, Thomas K. Title A name given to the resource Dalit Studies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Dalit Studies: Key Terms and Concepts;pp.264-269 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003634010-30" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003634010-30</a> <a href="https://www.scopus.com/pages/publications/105032499524?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032499524?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nivea T.K., Department of English and Cultural Studies, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource Dalit Studies emerged as a pivotal academic discipline in South Asia in the 1990s with a unique set of research agendas that offer new frameworks for understanding caste, gender and marginalised identities. The field stands out for integrating theoretical frameworks into the lived experiences of caste-oppressed communities. It was shaped by the confluence of material, ideological and intellectual shifts, including the critique of caste-Hindu dominance in academia. By prioritising the experiences of Dalits, it bridges the gap between theory and practice and engages with critical debates on representation, particularly insider vs. outsider perspectives in articulating Dalit experiences. It equips the learners not only with intellectual tools but also with the skills to attain self-reliance and dignity in their socio-political lives. As a critical tool, it calls for a rethinking of knowledge production, methodology and representation. Its growing global relevance is evident in universities across the United States, the United Kingdom, and South Africa, where programs and courses explore the intersections of caste, race, and gender within broader contexts of subjugation and resistance. This chapter traces the evolution of Dalit Studies, examining its theoretical foundations, key concepts and debates, and its growing visibility in academic institutions worldwide 2026 selection and editorial matter, Mahitosh Mandal and Sanjiv Kondekar; individual chapters, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104087057-0; 978-104105815-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Damaged Relay Station: EEG Neurofeedback Training in Isolated Bilateral Paramedian Thalamic Infarct Subject The topic of the resource EEG neurofeedback training; neuropsychological rehabilitation; stroke; thalamic infarcts Description An account of the resource Stroke is a major public health concern and leads to significant disability. Bilateral thalamic infarcts are rare and can result in severe and chronic cognitive and behavioral disturbances - apathy, personality change, executive dysfunctions, and anterograde amnesia. There is a paucity of literature on neuropsychological rehabilitation in patients with bilateral thalamic infarcts. Mr. M., a 51 years old, married male, a mechanical engineer, working as a supervisor was referred for neuropsychological assessment and rehabilitation with the diagnosis of bilateral paramedian thalamic infarct after seven months of stroke. A pre-post comprehensive neuropsychological assessment of his cognition, mood, and behavior was carried out. The patient received 40 sessions of EEG-Neurofeedback Training. The results showed significant improvement in sleep, motivation, and executive functions, however, there was no significant improvement in memory. The case represents the challenges in the memory rehabilitation of patients with bilateral thalamic lesions. 2024 Neurology India, Neurological Society of India. Creator An entity primarily responsible for making the resource Afsar M.; Rajeswaran J. Source A related resource from which the described resource is derived Neurology India, Vol-72, No. 6, pp. 1277-1279. Publisher An entity responsible for making the resource available Wolters Kluwer Medknow Publications Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4103/neuroindia.NI_605_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.4103/neuroindia.NI_605_20</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212770452&doi=10.4103%2Fneuroindia.NI_605_20&partnerID=40&md5=232cca814ebe7e583285277a11ec8aca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212770452&doi=10.4103%2fneuroindia.NI_605_20&partnerID=40&md5=232cca814ebe7e583285277a11ec8aca</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 283886; PubMed ID: 39691007; CODEN: NURYA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Afsar M., Department of Psychology, School of Humanities and Social Sciences, Christ (Deemed to be University), Delhi NCR, India; Rajeswaran J., Department of Clinical Psychology, National Institute of Mental Health and Neuro Sciences, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Dampers to Suppress Vibrations in Hydro Turbine-Generator Shaft Due to Subsynchronous Resonance Subject The topic of the resource Damper; Modal analysis; Rotor dynamics; Subsynchronous resonance; Turbo-generator shaft Description An account of the resource There are numerous applications to evaluate the damage caused by subsynchronous resonance (SSR) to a turbine-generator shaft. Despite multiple applications, there are relatively few studies on shaft misalignment in the literature. In this paper, stresses in the existing turbine-generator shaft due to subsynchronous resonance were studied using finite element analysis (FEA). The 3D finite element model reveals that the most stressed part of the shaft is near the generator terminal. A new nonlinear damping scheme is modeled to reflect the torsional interaction and to suppress the mechanical vibration caused by subsynchronous resonance (SSR). Stresses developed due to the addition of capacitors in the system at high rotational speeds and deformation of the shaft during various modes of oscillations were evaluated. Experimental investigations are carried out in reaction turbine connected to a 3kVA generator. Simulation is carried out for the experimental setup using ANSYS. According to the simulation results, the damper installed near the generator terminal provides satisfactory damping performance and the subsynchronous oscillations are suppressed. 2021, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Manikandan P.; Khan F.A. Source A related resource from which the described resource is derived Lecture Notes in Mechanical Engineering, pp. 469-479. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-4308-1_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-4308-1_36</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088966138&doi=10.1007%2F978-981-15-4308-1_36&partnerID=40&md5=f503899e09b0765cf80fddec1222063e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088966138&doi=10.1007%2f978-981-15-4308-1_36&partnerID=40&md5=f503899e09b0765cf80fddec1222063e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21954356; ISBN: 978-981154307-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manikandan P., CHRIST (Deemed to be University), Bangalore, India; Khan F.A., Ghousia College of Engineering, Ramanagaram, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Dandelion Algorithm for Optimal Location and Sizing of Battery Energy Storage Systemsin Electrical Distribution Networks Subject The topic of the resource Dandelion algorithm; Energy storage system; Loss minimization; Optimization; Radial distribution network Description An account of the resource This paper describes a new way to improve the performance of an EDN by integrating distributed battery energy storage systems (BESs) in the best way possible. This method is based on the Dandelion Algorithm (DA). The search space for BES locations is first predetermined using loss sensitivity factors (LSFs), and then DA is used to determine the optimal locations and sizes. The reduction of real power distribution loss is regarded as the primary objective function, and the impact of BESs is extended to examine the network voltage profile, voltage stability, and GHG emissions. IEEE 33-busEDN is used to calculate the computational efficiency of LSF-DA. Results show that DA is more efficient than Archimedes optimization (AOA), future search algorithm(FSA), pathfinder algorithm(PFA), and butterfly optimization algorithm(BOA) algorithms. Furthermore, the results show that the proposed DA enhances all technological and environmental factors and RDN performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Patil R.; Janamala V. Source A related resource from which the described resource is derived Studies in Computational Intelligence, Vol-1117, pp. 315-323. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-43009-1_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-43009-1_26</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183400067&doi=10.1007%2F978-3-031-43009-1_26&partnerID=40&md5=e0a7ab334850a0ad735e0f50fe9c97fa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183400067&doi=10.1007%2f978-3-031-43009-1_26&partnerID=40&md5=e0a7ab334850a0ad735e0f50fe9c97fa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1860949X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil R., SKN Sinhgad College of Engineering, Maharashtra, Pamdharpur, India; Janamala V., CHRIST (Deemed to be University), Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource DarcyForchheimer Nanoliquid Flow and Radiative Heat Transport over Convectively Heated Surface with Chemical Reaction Description An account of the resource Abstract: Improving the heat transport of energy transmission fluids is a vital challenge in numerous engineering applications such as photovoltaic thermal management, heat exchangers, transport and energy-saving processes, solar collectors, automotive refrigeration, electronic equipment refrigeration, and engine applications. Nanofluids address the challenges of thermal management in engineering applications. The DarcyForchheimer flow of magneto-nanofluid initiated by a stretched plate is investigated with application of the Buongiorno model. The features of the nth order chemical reaction, Rosseland thermal energy radiation, and non-uniform heat sink/source are also scrutinized. The Buongiorno nanoliquid model is implemented, which includes the frenzied motion of the nanoparticles and the thermal diffusion of the nanoparticles (NPs). Thermal and solutal convection heating boundary conditions are also incorporated. Boundary layer approximations are used in the mathematical derivation. The non-linear control problem is deciphered with application of the RungeKutta shooting method (RKSM). The results for the relevant parameters are analyzed in dimensionless profiles. In addition, the friction factor on the plate, the heat transport rate, and the mass transport rate of the nanoparticles are calculated and analyzed. 2022, Pleiades Publishing, Ltd. Creator An entity primarily responsible for making the resource Basavarajappa M.; Muhammad T.; Lorenzini G.; Swain K. Source A related resource from which the described resource is derived Journal of Engineering Thermophysics, Vol-31, No. 2, pp. 261-273. Publisher An entity responsible for making the resource available Pleiades journals Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1134/S1810232822020072" target="_blank" rel="noreferrer noopener">https://doi.org/10.1134/S1810232822020072</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132841332&doi=10.1134%2FS1810232822020072&partnerID=40&md5=5257877cf1cc3741f7bc8525f798143d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132841332&doi=10.1134%2fS1810232822020072&partnerID=40&md5=5257877cf1cc3741f7bc8525f798143d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18102328 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Basavarajappa M., Center for Mathematical Needs, Department of Mathematics, Christ University, Bangalore, India; Muhammad T., Department of Mathematics, College of Sciences, King Khalid University, Abha, Saudi Arabia; Lorenzini G., University of Parma, Department of Engineering and Architecture, Parma, Italy; Swain K., Department of Mathematics, Gandhi Institute for Technology, Bhubaneswar, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sam, Neha Elizabeth; Nagouda, Smita S.; Siddheshwar, P.G. Title A name given to the resource DarcyForchheimerBrinkman flow of a Newtonian fluid through an enclosure with two straight boundaries and one curved boundary Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Applied and Computational Mathematics;Volume;11;Issue;5;Article No.;195; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s40819-025-02037-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s40819-025-02037-y</a> <a href="https://www.scopus.com/pages/publications/105024861179?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024861179?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sam N.E., Department of Mathematics, Center for Mathematical Needs, CHRIST University, Karnataka, Bangalore, 560029, India; Nagouda S.S., Department of Mathematics, Center for Mathematical Needs, CHRIST University, Karnataka, Bangalore, 560029, India; Siddheshwar P.G., Department of Mathematics, Center for Mathematical Needs, CHRIST University, Karnataka, Bangalore, 560029, India Description An account of the resource The study examines the flow and heat transfer of a Newtonian fluid in a porous medium inside an enclosure with two straight boundaries and one curved boundary. This setup is important for heat storage and energy systems. The aim of this study is to solve the Brinkman-Forchheimer (BF) equation in an enclosure with two straight and one curved boundary. The research also looks to perform a thorough heat transfer analysis to improve the understanding of thermal behaviour in porous medium BF flow. Additionally, the study calculates the Nusselt number using a compatibility condition to ensure the results are physically consistent. Finally, it fits the Nusselt number as a function of the shape factor (s) and the Forchheimer number (F). This helps in capturing the trends in convective heat transfer behaviour within the medium.The main assumptions include a steady, fully developed flow in the z-direction with a constant axial pressure gradient -, and zero axial velocity (w = 0) on all boundaries. The domain in three-dimensions is defined in cartesian coordinates (x,y,z), with on the curved boundary,ensuring the spatial constraint of the geometry. The quasi-linearisation method is used to linearise the governing equations, resulting in a system of linear algebraic equations that is subsequently solved using the alternate direction implicit (ADI) method with an accuracy of. The findings show that an increase in the shape factor (s) results in a plug flow behaviour and better heat retention, as in higher temperature profiles and centreline velocities. In contrast, higher Forchheimer numbers causes a drop in both velocity and temperature due to increased flow resistance. But as F goes up, the Nusselt number always increases, meaning heat is better transferred through convection. The study also shows that hot spots and heat islands form inside the enclosure, especially when the shape factor is higher, because the heat builds up more quickly when there is less resistance, which is an essential thing to think about for things like heat storage systems, where it is crucial to have better thermal efficiency. The Author(s), under exclusive licence to Springer Nature India Private Limited 2025. Subject The topic of the resource ADI scheme; BrinkmanForchheimer(BF) flow; Finite difference method (FDM); Linear and curved boundary; Quasi-linearization Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 23495103; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Dark matter, dark energy, and alternate models: A review Subject The topic of the resource Cosmological constant; Dark energy; Dark matter; Dieterici gas; Modifications of general relativity; MOND Description An account of the resource The nature of dark matter (DM) and dark energy (DE) which is supposed to constitute about 95% of the energy density of the universe is still a mystery. There is no shortage of ideas regarding the nature of both. While some candidates for DM are clearly ruled out, there is still a plethora of viable particles that fit the bill. In the context of DE, while current observations favour a cosmological constant picture, there are other competing models that are equally likely. This paper reviews the different possible candidates for DM including exotic candidates and their possible detection. This review also covers the different models for DE and the possibility of unified models for DM and DE. Keeping in mind the negative results in some of the ongoing DM detection experiments, here we also review the possible alternatives to both DM and DE (such as MOND and modifications of general relativity) and possible means of observationally distinguishing between the alternatives. 2017 COSPAR Creator An entity primarily responsible for making the resource Arun K.; Gudennavar S.B.; Sivaram C. Source A related resource from which the described resource is derived Advances in Space Research, Vol-60, No. 1, pp. 166-186. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asr.2017.03.043" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asr.2017.03.043</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017475075&doi=10.1016%2Fj.asr.2017.03.043&partnerID=40&md5=45ea26d37217b3afe024ebb73e450247" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017475075&doi=10.1016%2fj.asr.2017.03.043&partnerID=40&md5=45ea26d37217b3afe024ebb73e450247</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 2731177; CODEN: ASRSD Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arun K., Department of Physics, Christ University, Bengaluru, 560029, Karnataka, India, Department of Physics, Christ Junior College, Bengaluru, 560029, Karnataka, India; Gudennavar S.B., Department of Physics, Christ University, Bengaluru, 560029, Karnataka, India; Sivaram C., Indian Institute of Astrophysics, Bengaluru, 560034, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data acquisition using NI LabVIEW for test automation Description An account of the resource In a fighter aircraft, the pilot's safety is of utmost importance, and the pressure sensing in the pilot's mask is essential for ensuring the pilot's safety. This innovative solution ensures the swift and accurate measurement of pressure, minimizing the risk of potential hazards and enhancing military aviation safety. Additionally, it provides a robust and reliable solution that can withstand the harsh and challenging conditions often encountered in the field. This chapter explores the advanced capabilities and benefits of utilizing the National Instrument USB-6363, programmed with LabVIEW, in military aviation, highlighting its potential for revolutionizing pressure measurement processes in this critical field. It describes a research study on developing a pressure-sensing system for pilot masks using NI USB 6363 and LabVIEW. 2023, IGI Global. Creator An entity primarily responsible for making the resource Santhosh P.; John D.C.; Kodigandla P.; Uma Maheswari V.M.; Sujatha S. Source A related resource from which the described resource is derived Advances in Artificial and Human Intelligence in the Modern Era, pp. 95-108. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-1301-5.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1301-5.ch005</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174150479&doi=10.4018%2F979-8-3693-1301-5.ch005&partnerID=40&md5=e4698adb2bc785704debc4b8bed89de0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174150479&doi=10.4018%2f979-8-3693-1301-5.ch005&partnerID=40&md5=e4698adb2bc785704debc4b8bed89de0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931302-2; 979-836931301-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Santhosh P., CHRIST University (Deemed), India; John D.C., CHRIST University (Deemed), India; Kodigandla P., CHRIST University (Deemed), India; Uma Maheswari V.M., Defence Research and Development Organisation (DRDO), India; Sujatha S., CHRIST University (Deemed), India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Analysis and Machine Learning Observation on Production Losses in the Food Processing Industry Subject The topic of the resource Dairy Products; Data Analysis; Machine Learning; Production Loss; Total Productive Maintenance Description An account of the resource Food wastage and capturing lineage from production to consumption is a bigger concern. Yielding, storage and transportation areas have evolved to a great extent associated to manufacturing and automation which lead to technical advancements in food processing industry. In such situation, losses are generally observed in the crop production which are sometimes minimal and ignored. However, in some cases these losses are huge and are becoming a threat to the both producers and consumers. Here we considered data related to dairy products and analysed the production losses especially while processing them in the treating unit. Literature on parameters and associated data analysis in the form of graphical representation are provided in the appropriate sections of the paper. Linear regression and correlation were envisaged in view of incorporating machine learning techniques understanding production losses. Karl Pearson's correlation provides an observation related to association of parameters which are desired to be less coupled in terms of employing proposed newer methodology. 2023 IEEE. Creator An entity primarily responsible for making the resource Kumar K.P.; Murthy H.; Pillai V.J.; Prathap B.R.; Moses M.; Urs Y. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC457730.2023.10263147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263147</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174710502&doi=10.1109%2FInC457730.2023.10263147&partnerID=40&md5=dccb6828caafdd2f05b7e478cdc35529" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174710502&doi=10.1109%2fInC457730.2023.10263147&partnerID=40&md5=dccb6828caafdd2f05b7e478cdc35529</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar K.P., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Murthy H., CHRIST Deemed to Be University, Department of Electronics and Communication Engineering, Bengaluru, Karnataka, India; Pillai V.J., CHRIST Deemed to Be University, Department of Electronics and Communication Engineering, Bengaluru, Karnataka, India; Prathap B.R., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Moses M., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Urs Y., CHRIST Deemed to Be University, Department of Civil Engineering, Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data analysis in road accidents using ann and decision tree Subject The topic of the resource ANN; Back Propagation.; Data analysis; Decision tree; Machine learning; Prediction/Classification; Road accident Description An account of the resource Road accidents have become some of the main causes for fatal death globally. A report tells that road accident is the major cause for high death rate other than wars and diseases. A study by World Health Organization (WHO), Global status report on road safety 2015 says over 1.24 million people die every year due to road accidents worldwide and it even predicts by 2020 this number can even increase by 20-50%. This can affect the GDP of the Country, for developing countries this can affect adversely. This paper shows the use of data analytics techniques to build a prediction model for road accidents, so that these models can be used in real time scenario to make some policies and avoid accidents. This paper has identified the attributes which has high impact on accident severity class label. IAEME Publication. Creator An entity primarily responsible for making the resource Kumar R.R.; Ramamurthy B. Source A related resource from which the described resource is derived International Journal of Civil Engineering and Technology, Vol-9, No. 4, pp. 214-221. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046342997&partnerID=40&md5=e9b57b989179aa139757c1c21045e75b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046342997&partnerID=40&md5=e9b57b989179aa139757c1c21045e75b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766308 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar R.R., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Ramamurthy B., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Analysis on Hypothyroid Profiles using Machine Learning Algorithms Subject The topic of the resource Hypothyroid; K-Nearest Neighbor; Logistic Regression; Long Short-Term Memory; Random Forest; XBG Classifier Description An account of the resource Machine learning algorithms enable computers to learn from data and continuously enhance performance without explicit programming. Machine learning algorithms have significantly improved the accuracy and efficacy of thyroid diagnosis. This study identified and analysed the usefulness of several machine-learning algorithms in predicting hypothyroid profiles. The main goal of this study was to see the extent to which the algorithms adequately assessed whether a patient had hypothyroidism. Age, sex, health, pregnancy, and other factors are among the many factors considered. Extreme Gradient Boosting Classifier, Logistic Regression, Random Forest, Long-Term Memory, and K-Nearest Neighbors are some of the machine learning methods used. For this work, two datasets were used and analysed. Data on hypothyroidism was gathered via DataHub and Kaggle. These algorithms were applied to the collected data based on metrics such as Precision, Accuracy, F1 score and Recall. The findings showed that the Extreme Gradient Boosting classification method outperformed the others regarding F1 score, accuracy, precision, and recall. The research demonstrated how machine learning algorithms might predict thyroid profiles and identify thyroid-related illnesses. 2023 IEEE. Creator An entity primarily responsible for making the resource Leisha R.; Medows K.; Prathap B. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/InC457730.2023.10262943" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262943</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174707457&doi=10.1109%2FInC457730.2023.10262943&partnerID=40&md5=493224ea8b6fa6abc35980758a31aab4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174707457&doi=10.1109%2fInC457730.2023.10262943&partnerID=40&md5=493224ea8b6fa6abc35980758a31aab4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Leisha R., CHRIST (Deemed to Be University), Computer Science and Engineering, Bangalore, India; Medows K., CHRIST (Deemed to Be University), Computer Science and Engineering, Bangalore, India; Prathap B., CHRIST (Deemed to Be University), Computer Science and Engineering, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Josephine, V.L.Helen; Ramesh, Kaushik; Thaliyan, Delma Title A name given to the resource Data Analytics and Automation for a Broadband Franchise Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived The Intersection of 6G, AI/Machine Learning, and Embedded Systems: Pioneering Intelligent Wireless Technologies;pp.338-347 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003540212-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003540212-18</a> <a href="https://www.scopus.com/pages/publications/105001401225?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001401225?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Josephine V.L.H., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Ramesh K., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Thaliyan D., School of Business and Management, Christ University, Bangalore, India Description An account of the resource Its challenging to envision a world without the internet. From acquiring knowledge to ordering food, our lives have become incredibly convenient thanks to it. As technology advances, internet access is becoming easier and more affordable, with India being renowned for having the lowest internet costs. Internet service providers (ISPs) aim to offer better speeds, fewer disruptions, and professional service. They charge fees for allowing customers to shop online, browse the web, stay connected with loved ones, and conduct business. Due to a lack of data comprehension, the company struggles to leverage reports in daily operations. Consequently, BSNL is finding it hard to outshine competitors and become profitable. Key highlights from the project include understanding customer mentality and addressing issues faced by franchise owners. This research aimed to enhance organizational operations by reducing manual interventions and automating customer communication. User sentiments toward the brand and its competitors were analyzed, and exploratory data analysis was conducted to assess the organizations position. Data visualization with Tableau and Python programming were utilized to derive insights from the data. 2025 selection and editorial matter, Shruti Sharma, Ashutosh Sharma, and Trinh Van Chien. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104033228-3; 978-103285196-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Analytics and ML for Optimized Performance in Industry 4.0 Description An account of the resource Industry 4.0, the fourth industrial revolution, has revolutionized manufacturing and production systems by integrating Data Analytics (DA) and Machine Learning (ML) techniques. Predictive maintenance, which predicts equipment malfunctions and schedules maintenance in advance, is a crucial application of DA and ML within Industry 4.0. It reduces downtime, improves productivity, and lowers costs. Demand forecasting, which uses historical data and ML algorithms to predict future product demand, and anomaly detection, which identifies abnormal patterns or events within large datasets, are also critical applications of DA and ML in Industry 4.0. They enhance operational efficiency and reduce costs. However, the adoption of DA and ML presents several challenges for organizations, including infrastructure, personnel, ethical, and privacy concerns. To realize the benefits of DA and ML, companies must invest in appropriate hardware and software and develop the necessary expertise. They must also handle data responsibly and transparently to ensure privacy and ethical standards. Despite these challenges, the integration of DA and ML in Industry 4.0 is critical for optimized performance, improved productivity, and cost savings. 2024 selection and editorial matter, Nidhi Sindhwani, Rohit Anand, A. Shaji George and Digvijay Pandey; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Daya Sagar K.V.; Ramachandran K.K.; Acharjee P.B.; Singh P.; Satyala H.; Singh B. Source A related resource from which the described resource is derived Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies, Vol-45689, pp. 275-287. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003317456-15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003317456-15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191824754&doi=10.1201%2F9781003317456-15&partnerID=40&md5=ee2e7c5fd88fee6b4f0ebadbac00c861" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191824754&doi=10.1201%2f9781003317456-15&partnerID=40&md5=ee2e7c5fd88fee6b4f0ebadbac00c861</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100383735-0; 978-103232943-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Daya Sagar K.V., Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India; Ramachandran K.K., Department of ManagementCommerce/International Business, Dr. G R D College of Science, Coimbatore, India; Acharjee P.B., Christ University, Pune, India; Singh P., Department of CSE Guru Ghasidas Vishwavidyalaya, Bilaspur, India; Satyala H., Department of Operation Management, Indian Institute of Management, Ranchi, India; Singh B., Department of Food Science and Technology, IK Gujral Punjab Technical University, Punjab, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Analytics for Social Microblogging Platforms Description An account of the resource Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. 2023 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Dutta S.; Das A.K.; Ghosh S.; Samanta D. Source A related resource from which the described resource is derived Data Analytics for Social Microblogging Platforms, pp. 1-303. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/C2021-0-01247-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/C2021-0-01247-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150133201&doi=10.1016%2FC2021-0-01247-5&partnerID=40&md5=327f15e3112535f51fdad46a4e97e42f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150133201&doi=10.1016%2fC2021-0-01247-5&partnerID=40&md5=327f15e3112535f51fdad46a4e97e42f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-032391785-8; 978-032397230-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dutta S., Department of Computer Application and Science, Institute of Engineering & Management (IEM), Kolkata, India; Das A.K., Department of Computer Science and Technology, IIEST Shibpur, Howrah, India; Ghosh S., Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Roy, Avijeet Emmanuel; Shoran, Preety; Vidushi Title A name given to the resource Data Analytics in Diabetes Treatment: Approaches and Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived AIP Conference Proceedings;Volume;3386;Issue;1;Article No.;20100; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0323697" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0323697</a> <a href="https://www.scopus.com/pages/publications/105035995959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035995959?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy A.E., CHRIST (Deemed To Be University, Delhi, India; Shoran P., CHRIST (Deemed To Be University, Delhi, India; Vidushi, CHRIST (Deemed To Be University, Delhi, India Description An account of the resource These days, managing diabetes has become particularly more beneficial with advancements in data analytics, using machine learning, predictive analytics, and patient-generated health data to optimize the outcome for patients. This paper explores the latest techniques and innovations in this field, including predictive modelling, wearable technology integration, and artificial intelligence for better personalized care. The study covers various analytical frameworks, compares the performance of multiple machine learning models, and discusses future directions in the integration of data analytics with telemedicine for diabetes care. The following words refer to diabetes management, data analytics, predictive simulation, AI, and algorithms for learning, wearable technologies, patient-generated health data, predictive analytics, continuous glucose monitoring, health informatics, personalized care, health data privacy, predictive algorithms, electronic health records, diabetes complications, telemedicine, feature selection, and model evaluation along with having patient-centric systems and chronic disease management. 2026 American Institute of Physics Inc.. All rights reserved. Subject The topic of the resource Brain Tumor Detection; Comparative Analysis; DenseNet-121; MobileNetV2 Publisher An entity responsible for making the resource available American Institute of Physics Relation A related resource ISSN: 0094243X; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data and Its Dimensions Subject The topic of the resource Data; Data Breach; Data Ownership; Data Science; Theory of Information; Types and Sources of Data Description An account of the resource In current times Data is the biggest economic opportunity. As per the studies, it is observed that the world is becoming 2.5 quintillions data-rich every day, with an average of every human contributing 1.7MB of data per second. Every individual has a good appetite for data, as it gives immense insight to explore and expand the business. With the invention of smart devices and innovation in the field of connectivity such as 4G-5G Mobile Networks and Wi-Fi, the generation and consumption of the data are steadily increasing. These smart devices continuously generate data, leading to a bigger pool for better decision-making. This chapter presents data, the various forms and sources, and the concept of Data Science; it discusses how the ownership and value of data are decided; and also highlights the use, abuse, and overuse of the data along with data theft, and a case study to represent data breach. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Shukla S.; George J.P.; Tiwari K.; Kureethara J.V. Source A related resource from which the described resource is derived SpringerBriefs in Applied Sciences and Technology, pp. 1-16. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-0752-4_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0752-4_1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672475&doi=10.1007%2F978-981-19-0752-4_1&partnerID=40&md5=2d8194f82e57607e7615e0fea8830925" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672475&doi=10.1007%2f978-981-19-0752-4_1&partnerID=40&md5=2d8194f82e57607e7615e0fea8830925</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2191530X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shukla S., Department of Data Science, Christ University, Karnataka, Bengaluru, India; George J.P., Christ University, Karnataka, Bengaluru, India; Tiwari K., Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Centre for Research, Christ University, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Augmentation for Handwritten Character Recognition of MODI Script Using Deep Learning Method Subject The topic of the resource Convolutional neural network; Data augmentation techniques; Handwritten character recognition; MODI script Description An account of the resource Deep learning-based methods such as convolutional neural networks are extensively used for various pattern recognition tasks. To successfully carry out these tasks, a large amount of training data is required. The scarcity of a large number of handwritten images is a major problem in handwritten character recognition; this problem can be tackled using data augmentation techniques. In this paper, we have proposed a convolutional neural network-based character recognition method for MODI script in which the data set is subjected to augmentation. The MODI script was an official script used to write Marathi, until 1950, the script is no more used as an official script. The preparation of a large number of handwritten characters is a tedious and time-consuming task. Data augmentation is very useful in such situations. Our study uses different types of augmentation techniques, such as on-the-fly (real-time) augmentation and off-line method (data set expansion method or traditional method). A performance comparison between these methods is also performed. 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Joseph S.; George J. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-196, pp. 515-522. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-7062-9_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-7062-9_51</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097249211&doi=10.1007%2F978-981-15-7062-9_51&partnerID=40&md5=3ca8557e76795a187765f07e025d8679" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097249211&doi=10.1007%2f978-981-15-7062-9_51&partnerID=40&md5=3ca8557e76795a187765f07e025d8679</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981157061-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph S., CHRIST (Deemed to be University), Bangalore, India, Carmel College of Arts, Science and Commerce for Women, Goa, India; George J., CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Classification and Incremental Clustering Using Unsupervised Learning Description An account of the resource Data modelling, which is based on mathematics, statistics, and numerical analysis, is used to look at clustering. Clusters in machine learning allude to hidden patterns; unsupervised learning is used to find clusters, and the resulting system is a data concept. As a result, clustering is the unsupervised discovery of a hidden data concept. The computing needs of clustering analysis are increased becausedata mining deals with massive databases. As a result of these challenges, data mining clustering algorithms that are both powerful and widely applicable have emerged. Clustering is also known as data segmentation in some applications because it splits large datasets into categories based on their similarities. Outliers (values that are far away from any cluster) can be more interesting than typical examples; hence outlier detection can be done using clustering. Outlier detection applications include the identification of credit card fraud and monitoring unlawful activities in Internet commerce.As a result, multiple runs with alternative initial cluster center placements must be scheduled to identify near-optimal solutions using the K-means method. A global K-means algorithm is used to solve this problem, which is a deterministic global optimization approach that uses the K-means algorithm as a local search strategy and does not require any initial parameter values. Insteadof selecting initial values for all cluster centers at random, as most global clustering algorithms do, the proposed technique operates in stages, preferably adding one new cluster center at a time. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Chakraborty S.; Islam S.H.; Samanta D. Source A related resource from which the described resource is derived EAI/Springer Innovations in Communication and Computing, pp. 73-99. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-93088-2_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-93088-2_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130556713&doi=10.1007%2F978-3-030-93088-2_4&partnerID=40&md5=6a07db7dff2e32b398e48cf9db3863c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130556713&doi=10.1007%2f978-3-030-93088-2_4&partnerID=40&md5=6a07db7dff2e32b398e48cf9db3863c8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25228595 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chakraborty S., JIS University, Dum Dum Cantonment, India; Islam S.H., Indian Institute of Information Technology Kalyani, West Bengal, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Vinodha, D.; Jenefa, J.; Anita, E.A. Mary; Al-Dahidi, Sameer Title A name given to the resource Data Driven Emergency Response Management for UAV-Based Future Transportation A Case Study Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Drones for Transportation Logistics and Disaster Management;pp.329-370 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394386451.ch15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394386451.ch15</a> <a href="https://www.scopus.com/pages/publications/105032099530?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032099530?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vinodha D., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Jenefa J., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Anita E.A.M., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Al-Dahidi S., School of Applied Technical Sciences, German Jordanian University, Amman, Jordan Description An account of the resource The transportation sector plays a vital role and is heavily involved in emergency response and disaster relief because of the necessity for quick deployment, evacuation and rescue operations, supply chain support, infrastructure restoration, aerial support and surveillance, traffic management, and route optimization, among other things. All of these are areas that can greatly benefit from the use of drones. The capabilities of drones provide an efficient and speedy option for surveying impacted regions, spotting possible dangers, finding survivors, accessing dangerous or inaccessible locations, delivering supplies, and generally facilitating relief efforts with speed and minimal human risk. UAV (Unmanned aerial vehicle)-based transportation can become a precise substitute for time-sensitive items, emergency relief, medical supplies, and more by overcoming obstacles like traffic and geographical accessibility. The success of emergency response management for UAV-based transportation is dependent upon the quality of the data collected and the effectiveness of its analysis and interpretation. Hence, in this chapter, we propose to analyze and explore the challenges and issues involved in the design and implementation of a data-driven emergency response management system for UAV-based future transportation and its applications. 2026 Scrivener Publishing LLC. Subject The topic of the resource emergency response management; remote monitoring; secure communication; transportation; UAV interoperability; UAV mapping; UAV operational challenges; Unmanned aerial vehicle Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139438645-1; 978-139438644-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Economy: Data and Money Subject The topic of the resource Big data; Data; Data analytics; Data economy; Data monetization; Data sources; Data valuation; Digital ecosystem; Digital transformation Description An account of the resource The article explores the concept of data economy, which is based on the sharing of data across platforms and ecosystems. Data has evolved from factual information to a new asset for companies worldwide, and the article discusses its evolution from brittle paper records to complex databases and algorithms like blockchain. With a prediction of a data explosion of about 175 zettabytes by 2025, data is used extensively in various domains, from agriculture to healthcare. The article also discusses how the data economy is not domain-specific but is a universal shift as all companies transition to become technology-driven companies. The data network effect is a cycle that uses data to acquire service users and generate more data. This has become a B2B service model that has added profits to various tech giants balance sheets. The article concludes by exploring the current need for data sharing across organizations and the future scope of the data economy. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Shukla S.; Elsheba D.; Chopra G.; Bisht K. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 517-527. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-0975-5_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197312312&doi=10.1007%2F978-981-97-0975-5_46&partnerID=40&md5=91cc564328060593d9c049ef310ae3c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197312312&doi=10.1007%2f978-981-97-0975-5_46&partnerID=40&md5=91cc564328060593d9c049ef310ae3c5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981970974-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shukla S., Christ University, Bangalore, India; Elsheba D., Christ University, Bangalore, India; Chopra G., Christ University, Bangalore, India; Bisht K., Christ University, Bangalore, India