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Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant's Jaundice Symptoms
One of the most important and difficult research fields is newborn jaundice grading. The mitotic count is an important component in determining the severity of newborn jaundice. The use of principal component analysis (PCA) feature selection and an optimal tree strategy classifier to produce automatic mitotic detection in histopathology images and grading is given. This study makes use of real-time and benchmark datasets, as well as specific approaches for detecting jaundice in newborn newborns. According to research, the quality of the feature may have a negative impact on categorization performance. Additionally, compressing the classification method for exclusive main properties can result in a classification performance bottleneck. As a result, identifying appropriate characteristics for training the classifier is required. By combining a feature selection method with a classification model, this is possible. The major outcomes of this study revealed that image processing techniques are critical for predicting neonatal hyperbilirubinemia. Image processing is a method of translating analogue images to digital formats and manipulating them. The primary goal of medical image processing is to collect information useful for disease detection, diagnosis, monitoring, and therapy. Image datasets can be used to validate the performance of newborn jaundice detection. When compared to conventional approaches, it offers results that are accurate, quick, and time efficient. Accuracy, sensitivity, and specificity, which are common performance indicators, were also predictive. 2021 Debabrata Samanta et al. -
Tunable graphene nanopatch antenna design for on-chip integrated terahertz detector arrays with potential application in cancer imaging
Aim: Further to our reports on chip-integrable uncooled terahertz microbolometer arrays, compatible with medium-scale semiconductor device fabrication processes, the possibility of the development of chip-integrable medical device is proposed here. Methods: The concept of graphene-based nanopatch antennas with design optimization by the finite element method (FEM) is explored. The high-frequency structure simulator (HFSS) utilized fine FEM solver for analyzing empirical mode decomposition preprocessing and for modeling and simulating graphene antennas. Results: Graphene nanopatch antennas exhibited tunable features with varying patch dimensions and dependence on substrate material permittivity. Conclusion: This work implements reconfigurable graphene nanopatch antenna compatible with terahertz microbolometer arrays. This design concept further develops on-chip medical devices for possible screening of cancer cell with terahertz image processing. 2021 Future Medicine Ltd. -
Trends in Terahertz Biomedical Applications
Terahertz radiation has drawn enormous attention in recent times due to its various application possibilities. This chapter reviews various emerging trends and well-established technologies in Terahertz biomedical. Due to its extraordinary sensing capabilities, non-invasive, non-ionizing properties, sensitive instrumentations for spectroscopy and imaging, Terahertz has found various biomedical sensing applications from biomolecules, proteins to cells and tissues. This chapter highlights terahertz device engineering, system technologies, range of materials, aiming at various biomedical applications. It also includes emerging topics such as terahertz biomedical imaging, pattern recognition and tomographic reconstruction by machine learning and artificial intelligence, for possible biomedical imaging applications. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
A Novel Approach for Web Mining Taxonomy for High-Performance Computing
Web mining is a central part of data analysis. The fetching and discovering knowledge from the different web data in data mining mechanism is more important nowadays. Web usage mining customs data mining practice for the investigation of custom decoration from different data storages. In this article paper, introducing a new approach for web mining taxonomy for high-performance computing. The primary motivation of this research is on the data collection in different real-time web servers for implementation and analysis. This article is focussed the WebLog Expert lite 9.3 tools for our study. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Methodologies and Applications of Computational Statistics for Machine Intelligence
With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past. Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians. 2021, IGI Global. All rights reserved. -
Cipher Block Chaining Support Vector Machine for Secured Decentralized Cloud Enabled Intelligent IoT Architecture
The growth of internet era leads to a major transformation in a storage of data and accessing the applications. One such new trend that promises the endurance is the Cloud computing. Computing resources offered by the Cloud includes the servers, networks, storage, and applications, all as services. With the advent of Cloud, a single application is delivered as a metered service to numerous users, via an Application Programming Interface (API) accessible over the network. The services offered via the Cloud are such as the infrastructure, software, platform, database and web services. The main motivation of this application model is to provide computationally secure key generation to protect the data via encryption. This key generation in the cryptography process falls into three categories in this research work. In the first part, SVM based encryption service model is constructed for which the key generation is from the conventional encryption operation mode with some improvements. To make the process more complex, the optimization techniques are taken into account for the key generation in descendant two methods application model that acts computationally more secure specifically for Cloud environment. The results of security analysis confirm the effectiveness of the proposed application model withstands potentially against various attacks such as Chosen Cipher Attack, Chosen Plain text Attack indistinguishable attacks for files. In case of images, it resists well against statistical and differential attacks. Comparative Analysis shows evidence of the efficiency of the developed pioneering application model quality and strength compared with that of the existing services. 2013 IEEE. -
An Investigation into the Role of AI-Based Innovation in Supporting the Next Generation of Startup Entrepreneurs
The advent of Artificial Intelligence (AI) has revolutionized various industries, offering unprecedented opportunities for innovation and entrepreneurship. This investigation delves into the pivotal role of AI-based innovation in nurturing and empowering the next generation of startup entrepreneurs.AI technologies, including machine learning, natural language processing, and computer vision, have significantly augmented the capabilities of startups across diverse sectors. This study aims to elucidate the multifaceted ways in which AI fosters entrepreneurial endeavors, from ideation to market penetration.AI algorithms enable startups to analyze vast datasets swiftly, extracting valuable insights that inform strategic decision-making and product development. Through predictive analytics and trend forecasting, entrepreneurs can anticipate market demands, optimize resource allocation, and mitigate risks, thereby enhancing the viability and competitiveness of their ventures.AI facilitates personalized customer experiences, driving customer engagement and retention for startups. By leveraging AI algorithms to analyze user behavior and preferences, entrepreneurs can deliver tailored products, services, and marketing campaigns, fostering brand loyalty and customer satisfaction.The integration of AI into startup ecosystems also presents various challenges, including ethical considerations, data privacy concerns, and regulatory complexities. Therefore, this investigation also explores the ethical implications and regulatory frameworks surrounding AI-based entrepreneurship, advocating for responsible innovation practices and stakeholder collaboration. 2024, Collegium Basilea. All rights reserved. -
Organizing data using lists: A sequential data structure
Computer programming aims to organize and process data to get the desired result. Software developer chooses a programming language for application development based on the data processing capabilities of the language. The list is one of the sequential data structures in Python. A list is limited to a particular data type, such as numbers or strings. Occasionally, a list may include data of mixed types, including numbers and strings. Elements in the list can be accessed by using the index. Usually, a list's elements are enclosed within square brackets and divided using commas. The list may be referred to as a dynamic-sized array, which denotes that its size increases as additional data is added and that its size is not predefined. List data structure allows repetition; hence, a single data item may appear several times in a list. The list assists us in solving several real-world problems. This chapter deals with the list's creation and manipulation, the complexity of processing the list, sorting, stack, and queue operations. 2023, IGI Global. All rights reserved. -
Design techniques in carry select adder using parallel prefix adder for improved switching energy
A new architecture of Carry select adder has been proposed with improved switching energy using parallel prefix adder. The conventional Carry select adder is the use of two Ripple Carry Adder (RCA) and a multiplexer. The findings in this work are the replacement of one RCA block by Brent Kung adder and the other RCA block by excess-1 converter. Simulation results show that the proposed Carry select adder is proved to have improved switching energy when compared with the other adders in 45nm CMOS process. 2021 Wydawnictwo SIGMA-NOT. All rights reserved. -
Assessing the Effectiveness of Implied Volatility in Predicting Realised Return Volatility for Informative Decision-Making: Insights from the Nifty Bank Index
Implied volatility (IV) is crucial in option pricing models and serves as an essential tool for volatility traders to make informed decisions. However, its effectiveness in predicting realized return volatility is still debated. This study investigates the efficiency of implied volatility in forecasting realized return volatility in the Indian financial markets, specifically using Bank Nifty index options and also assesses the predictive capability of implied volatility against the realised volatility estimator. Utilizing data spanning five years, from January 2018 to December 2022. Finding of this study reveal that implied volatility significantly forecasts realized volatility, highlighting its efficacy as a forecasting tool. Moreover, historical volatility fails to enhance predictive power when combined with implied volatility. Nonetheless, caution should be exercised in generalizing these results to other markets or time periods, as further research is warranted. The study contributes to the ongoing discourse on implied volatility efficiency, offering practical insights for options traders and adding to the body of knowledge in financial economics. 2024, Iquz Galaxy Publisher. All rights reserved. -
The Eff ect of Music and Editing Style on Subjective Perception of Time When Watching Videos An Eye-tracking Study
Arousal, editing style, and eye movements have been implicated in time perception when watching videos. However, little multimodal research has explored how manipulating both the auditory and visual properties of videos aff ects temporal processing. This study investigated how editing density and music-induced arousal aff ect viewers time perception. Thirty-nine participants watched six videos varying in editing density and music while their eye movements were recorded. They estimated the videos duration and reported their subjective experience of time passage and emotional involvement. Fast-paced editing was associated with the feeling of time passing faster, a relationship mediated by fi xation durations. Higharousal background music was also associated with the feeling of time passing faster. The consequences of this study in terms of a possible auditory driving eff ect are explored. The Author/s -
Counseling and psychotherapy in india: Professionalism amidst changing times
India is a melting pot of diversity in castes, communities, geographical regions, languages, religions, and practices, within a geographical area of 32,87,263 kilometers, with 28 states and seven union territories. Although the notions of counseling and psychotherapy are Western, the process of mentoring and assisting individuals through their developmental issues was already present in ancient models of care in India, such as the Guru Shishya System,1 the Joint Family Network,2 and traditional healing. Counseling and psychotherapy do not exist as completely distinct disciplines in India. Although counseling grew out of a strong guidance format and led to a proliferation of trained and lay counselors and psychotherapy arose from a strong theoretical clinical psychology background, these differences are blurred in society. As Arulmani (2007) points out: all that is termed as counseling today was embedded within a complex support system of social relationships (p. 70). Although these fields progressed, difficulties with accreditation exist. The Indian Association of Clinical Psychologists (IACP), along with other bodies such as the Counseling Association of India, offer discussions of matters related to psychotherapy counseling and clinical psychology, and provide the code of conduct in India (IACP, 1993). Varma (1982) highlighted seven distinct features of the Indian population that strongly infiuence how counseling and psychotherapy are practiced and received by clients: Mutual interdependence, lack of psychological sophistication involving introspective and verbal abilities, social distance between the doctor and the patient due to class hierarchies, religious belief in rebirth and fatalism and related accountability, guilt attributed to misdeeds in past life and social approval-related shame, and lower emphasis on confidentiality as society can be therapeutic allies. India is a collectivistic society wherein the self is relational (Roland, 2005), though recent socio-economic changes have resulted in a contradictory mix of traditional and modern elements in families (Murthy, 2003). Shah and Isaac (2005) note that relationship problems dominate themes in clinical interviews and in the process of individual, couple and family therapy sessions in India. 2013 by Taylor & Francis Group, LLC. -
Navigating real estate purchase decisions: an interplay of influential factors
Purpose: The purpose of this study is to investigate the relationship between social trends, peer influence, personal attitudes regarding real estate purchase decisions, perception of long-term property value and the mediating effect of hedging in influencing property and real estate purchases. Design/methodology/approach: Using a combination of quantitative surveys, this study aims to provide a comprehensive knowledge of the factors influencing real estate buying decisions. Data were obtained from 399 young consumers in four Indian cities. Using structural equation modeling, the suggested conceptual framework is examined. Findings: The studys findings suggest that attitude plays an important role in influencing real estate purchase decisions. Young adults also tend to look for long-term gains or value when purchasing a home. Developing durable products for the customers is the best way to grow business, according to the results. Originality/value: To the best of the authors knowledge, this is the first paper that examines the role of sentimental, personal and financial factors in real estate purchase decisions. The study provides insights into how these factors interact and affect the decisions of consumers in real estate. The authors hope that the findings will be useful for real estate professionals to better tailor their services to meet the needs of their customers. 2024, Emerald Publishing Limited. -
A Review of Comprehension and Operation of DC/DC Converters Precisely Voltage Multiplier and Voltage Lift Converters
Converters in power electronics play a significant part in the power conversion of distributed generation and grid-connected systems. This paper gives comprehension analysis and operation of various non-isolated step-up DC/DC converters for renewable energy applications using voltage multiplier or/and voltage lift techniques to attain higher voltage gain. An isolated converter structure mainly comprises a transformer which is associated with high cost, complexity, leakage inductance, losses and EMI problems with the decrease in the efficiency of the converter, hence the operation of several DC/DC converters precisely voltage multiplier and voltage lift converters are discussed with relative simulation results obtained. 2022 Seventh Sense Research Group. -
Source-load-variable voltage regulated cascaded DC/DC converter for a DC microgrid system
Solar energy is available abundantly, the utilization of solar energy is developing rapidly and the photovoltaic based direct current (DC) microgrid system design is under demand but the stability of the DC voltage is of most important issue, as the variation of the output DC voltage is a common problem when the load or source voltage varies, hence a regulated DC output voltage converter is proposed. This paper presents source-load-variable (SLV) voltage regulated cascaded DC/DC converter which is used to obtain regulated output voltage of 203.1 V DC at 0.4 duty ratio with 2% voltage fluctuations for the variation in the input source voltage and 1.5% voltage fluctuations for the variation in load resistance of the nominal value with lower output voltage ripple and without use of sub circuits. A simulation model of SLV voltage regulated cascaded DC/DC converter in LTspice XVII software environment for the assessment of converter performance at different input source voltages and load resistances are verified. 2023 Institute of Advanced Engineering and Science. All rights reserved. -
HydroIoT: An IoT and Edge Computing based Multi-Level Hydroponics System
The depleting area of cultivable lands is increasing demands for implementing improved techniques that could use less space and produce more than traditional farming. This situation is common in all the developing and under developed countries. With a motivation to contribute towards providing solution to this growing problem of food scarcity, a Multi-Level Hydroponics System is proposed. The proposed system combines best of all trending technologies like IoT, Edge Computing and Computer Vision and applies it to Hydroponics. A cultivation estimation system based on image processing is implemented and accuracy of the same is tested with actual produce. The crop used for the proposed system is corn as it serves as best fodder for cattle. It was observed that with proposed system up to 95% accuracy in estimating fodder produce was achieved. 2021 IEEE. -
Women in higher education institutions: Challenges faced by women in HEI and emerging opportunities
A multitasking Queen plays a heterogeneous role in each and everyone 's tremendous journey of life right from the beginning until the end. As a wife, mother, sister, daughter, mentor, philosopher, friend, lover, and most importantly, 'first teacher', her contributions are noteworthy. Nobody can even dream up life without a woman. Women are capable enough in learning, teaching, and sustenance throughout their life. The art of learning and teaching encompasses the art of living. As a teacher, she is a source of inspiration, knowledge, and reason for the future. The first smile, step, voice, and any word are being routed by the first teacher called mother cum woman. This chapter explores women in higher education institutions. 2022, IGI Global. All rights reserved. -
Analyzing Job Satisfaction, Job Performance, and Attrition in International Business Machines Corporation through Python
Since workers significantly impact the firm's operation, businesses invest heavily in them. They must deliver better and more excellent performance to compete with the increasing competition. Employee performance is becoming more and more important for business success and staying ahead of the competition, so companies are putting more money into things like training, growth centers, and careers. The target audience was the employees working in International Business Machines Corporation. The data was analyzed through the process of Exploratory Data Analysis using Python. There is a 0.002297 link between Job Satisfaction and Performance Rating, and a 0.002572 correlation between Work Life Balance and Performance Rating. The relationship between work-life balance and job involvement is -0.01462, indicating a negative impact on work-life balance for people who are heavily interested in their occupations. The study would help Human Resources Managers formulate their policies and understand the employees better in the current environment. Here, Job Satisfaction and Performance Rating served as mediators, and the findings show that their influence on Attrition is minimal at this firm. 2024 IEEE. -
Impact of human resource practice on work engagement and turnover intention in information technology companies
Orientation: The information technology (IT) sector, a global economic driver, faces high employee turnover because of low work engagement. This study examines the relationship between human resource management (HRM) practices and their impact on work engagement and turnover intention (TI) in IT companies. Research purpose: The primary purpose of this research article is to investigate how HRM practices influence employee work engagement and TI in the IT sector. Motivation for the study: This study is motivated by the need to address this critical issue by exploring the role of HRM practices in shaping employee engagement and TI. Research approach/design and method: The research data came from 10 IT organisations in Pune IT parks. Non-probability convenience sampling was used to collect data. Data were analysed using Structural Equation Modelling (SEM), Statistical Package for Social Science (SPSS) and Moment Structure Analysis to evaluate the hypotheses. Main findings: The study found that HRM practices such as effective communication (EC), training satisfaction (TS), performance appraisal satisfaction (PAS), pay satisfaction (PS) and opportunities for development (OFD) positively influence work engagement among IT employees. Addressing these HRM practices can enhance employee retention and engagement in the IT sector. Practical/managerial implications: Implementing these strategies can lead to a more committed and productive workforce, improving overall organisational performance and retention. Contribution/value-add: This research offers actionable recommendations for IT companies to improve employee retention and engagement, filling a gap in existing literature by focussing exclusively on the unique challenges and dynamics of the IT industry. 2024. The Authors.