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Deep Learning in Project Planning and Scheduling
Controlling construction projects requires careful planning, and the most popular modelling techniques are the discrete-event simulator (DES), linear schedule (LS), and the critical path method (CPM). DES techniques, however, may become laborious and struggle to appropriately represent decision possibilities as complexity and restrictions increase. Through the reinforcement learning methods, deep learning-based artificial intelligence (AI) may be a viable substitute, enabling a quicker evaluation and suggestion of planning solutions for intricate building projects. This study investigates if artificial intelligence (AI) can replace DES in Insight, an illustrated constraint-based procedure planning tool for production and building. In the study, the difficulties of integrating AI into planning for building are discussed, along with the process modifications required to support deep learning techniques. Enhanced schedule, expenses, and efficiency in operation result from early planning of projects, which also balances conflicting project requirements. The planning of modern building projects is suggested to use a new conceptual methodology. 2025 IEEE. -
Managing Sustainability in Perishable Food Supply Chains : A Case of Mango From Farm-to-Table
This research explores the significant role of India in the global food production sector, with a specific focus on perishable goods. It examines how this sector contributes to rural income and overall economic growth, while also addressing issues like post-harvest losses and inefficiencies in the perishable sector. The study highlights the necessity of a sustainable and efficient perishable sector for the progression of the Indian economy. By utilizing insights from resource-based view theory, stakeholders theory and systems theory, the research delves into the challenges and opportunities present in India's perishable food supply chain, emphasizing the crucial role of farmers in ensuring quality and effectiveness in India. Additionally, the study explores the broader context of Indian agriculture, with a specific focus on the perishable and horticulture sectors, their economic importance, and challenges such as post-harvest losses and the impacts of climate change. The research advocates for a strategic collaborative approach involving governments, businesses and communities to secure the sustainability and resilience of the perishable food supply chain in light of current and future challenges. The existing literature on the perishable food supply chain is evaluated to find the research gaps. This evaluation is conducted through a bibliometric analysis, shedding light on areas that have been neglected or inadequately explored in prior research. The identified gaps serve as the foundation for the research objectives of the study, aiming to fill these voids with fresh insights and discoveries. To establish the groundwork for the investigation, this research also initiates an in-depth discourse on each hypothesis, ensuring that the research design presented is both transparent and logical. The ultimate objective is to enhance comprehension of the perishable foodsupply chain, paving the way for future studies to build upon this foundational work. Then the research seeks to elucidate the research methods utilized to meticulously validate the researchmodel, employing stringent techniques and measures to guarantee the integrity and dependability of the findings. This framework aims to encapsulate the entire research process succinctly, from its fundamental objectives to the eventual implications of its findings, guiding readers through the investigative journey undertaken in the study. To achieve these objectives, a research model is presented that examines the interrelationships between quality, efficiency, sustainability and technological capabilities within the perishable food supply chain. The research methodology employed in this study combines both quantitative and qualitative techniques. It encompasses a detailed description of the sampling procedure and data collection methods, including the utilization of probability sampling techniques and surveys. Furthermore, the statistical tools and techniques employed in the study is Partial Least Square Structural Equation Modelling (PLS-SEM). The study formulates a comprehensive model that takes into account quality, efficiency and sustainability within the perishable food supply chain, with a specific focus on the moderating impact of technological capabilities. It identifiespositive connections between quality and sustainability, efficiency and sustainability, as well as the combined influence of quality and efficiency on sustainability. Technological capabilities are revealed to bolster these connections, underscoring the significance of circularity in the supply chain to minimize waste and align with sustainability objectives. The research concludes by providing insights on the challenges and prospective pathways towards more sustainable, efficient, and quality-driven practices in the perishable sector, particularly in light of technological advancements and the global trend towards circularity. -
Mapping Barriers to Net Zero in Quick Commerce A Fuzzy DEMATEL Approach
The fast-paced growth of q-commerce platforms has radically changed the shopping arena to deliver consumers unparalleled convenience. However, this speedy delivery poses significant challenges to achieving net-zero emissions, essentially due to inefficiencies in logistics and high energy usage. This research applies the Fuzzy DEMATEL approach to explain and analyze the barriers to sustainability in q-commerce by uncovering interconnections between factors. The findings showed that the primary logistical inefficiency is preceded by high energy usage and sustainable packaging as significant drivers. Other evaluated factors, though with lower scores, are regulatory challenges and consumer awareness. The mitigation of logistical inefficiencies can serve to greatly improve routing and resource management in such a way as to bring significant decreases in carbon footprint. Also, by augmenting consumer awareness for more sustainable practices, one creates an increasing demand for alternative choices, hence giving way to positive feedback that may help drive companies toward adopting even more sustainable approaches. From a policy perspective, the results indicate that regulatory frameworks should support investments in green infrastructure and technologies by engaging the different stakeholders, including businesses, consumers, and governmental entities, in a common strategy toward sustainability. While the present research supplies important insights into the challenges with which q-commerce is confronted while achieving net-zero emissions, it recognizes some constraints, such as potential biases due to expert judgments and the dynamic character of the business. The following studies would include more stakeholders and variables influencing sustainability and broaden the scope. Through addressing these barriers as a collective, the q-commerce industry can move toward achieving its net-zero dreams while advancing broader environmental goals for a greener world. 2026 selection and editorial matter, Siddhartha Roy, Soumya Sen, and Agostino Cortesi; individual chapters, the contributors. -
The Interaction of Generative Artificial Intelligence with Computational Intelligence on the Knowledge Economy: A Text Mining Approach
The study presents the first large-scale bibliometric evaluation on how the generative artificial intelligence (GenAI) and computational intelligence will impact the knowledge economy research during the year 2015 to 2025. Based on 228 articles indexed in Scopus, the study incorporated the use of the trend of keywords, multiple correspondence analysis and citation network visualization to determine the central thematic clusters and their trends in development. The findings revealed a notable growth of publications since 2020 due to the development of language-centered technologies such as large language models (LLMs), natural language processing (NLP) and generative adversarial networks (GANs), which have become the center of the intellectual cluster. Despite the diversity of research issues, only an estimated 9% of studies explicitly evaluate the role of GenAI in determining the consequences of the macroeconomic knowledge economy, which leaves a significant disparity between the pace of technological development and the overall effects of technology on the economy. This study provides a scholarly, practical oriented recommendation to use the power of GenAI to accelerate digital transformation and ensure equitable economic and social benefits. 2025 IEEE. -
Investigating the Interaction of Digital Capabilities, Sustainable Practices, Product Quality, and Customer Satisfaction in Perishable Food Supply Chains
To ensure efficient delivery of perishable food products, food supply chains (FSCs) have advanced the usage of recent technologies and started integrating them into logistical systems. This study examines the interplay between digital capabilities, sustainable practices, logistical networks, and customer satisfaction in perishable FSCs through a cross-sectional survey of 416 Indian consumers. It draws on a comprehensive literature review that highlights the potential variables and their impacts on the perishable FSCs. The data was collected using a five-point Likert-scale questionnaire, analyzed using partial least squares-structural equation modeling (PLS-SEM), and robustness was ensured by Harman's test. The study integrates value percept theory (VPT) to develop a comprehensive conceptual framework that explains how digital capabilities and sustainable practices enhance product quality and customer satisfaction in perishable FSCs. The findings from the study explicitly support the positive moderating role of logistical networks in the relationship between digital capabilities and product quality. The findings can assist management professionals operating in the perishable food sector in enhancing their theoretical and practical comprehension of the profound influence exerted by digital capabilities, sustainable practices, and logistical networks on the crucial nexus between product quality and customer satisfaction. 2026 ERP Environment and John Wiley & Sons Ltd. -
Government Support Mechanism in Perishable Food Supply Chain: A Transition from Sustainability to Circularity
The transition from sustainability to circularity within the food supply chain (FSC) is intricate and multifaceted. Governmental efforts involve educating the perishable food sector about the advantages of circularity. The transition to circularity necessitates a reassessment of current business models and an emphasis on innovative practices. Therefore, the purpose of this article is to identify the potential enablers of government support mechanism in the transition from sustainability to circularity in perishable FSC. Furthermore, the study ranks the enablers according to their respective significance, adopting fuzzy simple additive weighting (SAW) method. Fuzzy SAW approach is selected as it can handle uncertainty and vagueness in the decision-making process, which is common when dealing with qualitative factors and subjective judgments. The study evaluates seven alternatives in relation to four criteria using the fuzzy SAW method. The findings from the study highlight fostering collaborative partnerships, innovative infrastructural support, and enforcing regulations and standards as the top three ranked enablers. The study contributes to the existing literature on sustainability and circularity in FSCs. The results from the study can assist the industry in focusing efforts on circularity and help businesses align practices with government policies. 1973-2011 IEEE. -
An Eco-Friendly Antenna for 6G Communication Enabling Sustainable Infrastructure
This research presents the development of an antenna on an organic substrate for 6G infrastructure utilizing sustainable materials. The substrate is developed from 75% used tea powder and 25% carbon sourced from used batteries, combined with polyvinyl alcohol (PVA), molded, and thermally processed to create a 5mm thick organic substrate. The developed patch antenna operates within the frequency range of 14.8 to 17.3GHz, encompassing the new lower 6G candidate band (14.8 to 15.3GHz). The antenna exhibits 2.5GHz bandwidth with a resonant frequency of 15.7GHz. This antenna highlights the potential for integrating eco-friendly materials into modern telecommunications technology, promoting sustainability, and supporting the circular economy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Influence of Financial Attitude and Financial Socialization on Investment Behavior of Women
Women generally avoid risk when investing, often preferring traditional options such as bank fixed deposits and gold. This behavior limits their participation in NTI, like stocks and mutual funds, which typically offer higher long-term returns. Purpose: The paper discussed how financial attitude (FA) and parental financial socialization (PFS) affected the non-traditional investment behavior (NTIB) of Indian women. Design/Methodology/Approach: The study used a quantitative research design, with an online survey administered to 403 working Indian women aged 2555 years. Data was collected through convenience sampling and analyzed using SPSS 23. Findings: FA related to interest and deliberative spending significantly influenced womens non-traditional investment behavior. Parental financial behavior (FB) and direct financial teaching also had a positive impact, whereas financial anxiety and parental role modeling did not exhibit a significant influence. Practical Implications: The results emphasized the need for financial institutions and policymakers to implement targeted financial education programs, as well as for parents to provide proactive financial education, to increase the level of non-traditional investment among women. Originality/Value: The research contributed to the family financial socialization theory by providing empirical data on the joint effect of FA and PFS on the NTIB of Indian women. 2026, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Does Customer Co-Creation Influence Customer Loyalty? A Special Reference to Online Video Games
The research investigates the factors influencing consumer loyalty through co-creation in online video games in Delhi National Capital Region (Delhi- NCR). The study focuses on four independent variables, social motivation, personal motivation, utilitarian motivation, and hedonic motivation, to examine customer engagement through value co-creation, which is mediated through attitudinal and behavioral loyalty. The study collected 200 respondent data through an online survey administered to online video game players in the Delhi-NCR region and analyzed the data using the Statistical Package for the Social Sciences (SPSS) software. The study has several implications for online video game companies operating in the Delhi-NCR region to improve their co-creation strategies and enhance customer loyalty through value co-creation. The study backs to the body of knowledge on co-creation, customer engagement, and loyalty in the online video game industry. However, the stud has a limitation which include the sample size as the data has been collected only from Delhi NCR. 2025 by Apple Academic Press, Inc. -
Building Emotions Awareness in the Classroom
Emotional development begins in early childhood, with the school environment and educators playing a crucial role in shaping children's relationship with emotions. Integrating social-emotional learning (SEL) can foster the skills to manage strong emotions and build healthy relationships. Through their daily interactions and structured lessons, teachers can help children identify, regulate, and express feelings appropriately. Children who effectively manage their emotions play a vital role in promoting teachers' well-being and job satisfaction. Emotion regulation doesn't involve blanket strategies that work for everyone. This chapter will explore the variations in emotional development across the Pre-K to 12 age range, highlighting the distinct stages and characteristics unique to each phase. Therefore, the proposed strategies, with a strong focus on parent-teacher collaboration are designed to align with the child's developmental stage, ensuring maximum effectiveness and benefits. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Indicators of corporate financial distress : evidence from India
The study aims to identify the indicators of corporate financial distress in the Indian industrial sector. The study begins by analysing the corporate bankruptcy filings and the outcomes of filings under the Insolvency and Bankruptcy Code (IBC), 2016. From the analysis of bankruptcy filings, a newlinelist of 82 publicly listed companies of industrial nature experiencing financial distress that have filed for bankruptcy under IBC is identified. Each of the 82 companies are paired with an equal number of matching newlinefinancially sound companies to form a sample of 164 companies. Further, 12 variables from the annual reports of the sample companies are analysed for a period of five years immediately preceding the bankruptcy filing by the distressed companies. Simple regression analysis is employed for determining the primary indicator of corporate financial distress and logistic regression analysis is used to identify the supplementary indicator of corporate financial distress in the Indian industrial sector. The primary and the supplementary indicators are presented in the form of a two-stage process to form the Corporate Distress Prediction (CDP) scorecard. The newlinerecommended CDP scorecard predicts financial distress in the Indian industrial sector at an accuracy ranging between 90 percent to 100 percent during the five years of study. The major implication of the study is that it newlinecan guide the corporate stakeholders in knowing the financial health of a newlinecompany. -
Structural health monitoring using AI and ML based multimodal sensors data
Climatic changes, sudden or gradual, influence the structural health of buildings and bridges due to variations in temperature and humidity. Risk and disaster management plays a vital role in the decision-making process for safeguarding structures. Data analytics from sensors systems in smart structures aid in taking appropriate action in securing buildings during natural calamities. The correlation between climate and structural measuring responses can be further improved using artificial intelligence (AI)- machine learning (ML) algorithms to monitor and predict structural health and take any precautionary steps before the event of a casualty. Linear regression is an efficient tool for analyzing structural health. The proposed work's objective is to monitor and predict the structural health and inform the concerned authorities in the event of a failure in advance, using AI-ML approaches. We have analyzed various sensor data sets to predict the health of a structure based on the crack developed. From the data obtained for experimentation, mean width of the crack is observed as 2.38 cm and mean length of the crack is 63.36 cm. 2023 The Authors -
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Key-Based Message Transmission to Avoid Broadcast Storm in VANET
VANET network communicates traffic information to the neighbor vehicles through low cost wireless communication technologies. ITS major task is to share the road information to the vehicles at most on time to minimize the threat of road accidents. The vehicle that receives communication from its neighbor becomes a part of VANET that controls and forward the received information to the neighbor vehicles. In this paper, a design to reduce the broadcasting storm is proposed. The approach named as key-based message broadcast for VANET (KMB-V) to reduce the broadcast storm in VANET. This approach forms a quiet a little amount of nodes (vehicles) to form a cluster with Cluster Head (CH) and creates a novel unique key to transmit before message transmission to avoid broadcast storm. This approach proves a better performance through PDR, network life and throughput parameters in comparison to previous works. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
A Hybrid Grayscale Image Scrambling Framework Using Block Minimization and Arnold Transform
Image disarranging is the process of randomly rearranging picture elements to make the visibility unreadable and break the link among neighboring elements. Pixel values often don't change while they are being scrambled. There has been a slew of proposed image encryption techniques recently. The two steps that most image encryption algorithms go through are confusion and diffusion. Using a scrambling technique, the pixel positions are permuted during the confusion phase, and an inverse-able function is used to modify the pixel values during the diffusion phase. A good scrambling method practically eliminates the high relationships between adjacent pixels in a picture. In the proposed scheme, XOR based minimization operator is applied on blocks of images followed by Arnold Transform. The suggested design is assessed using a matrix comprising the Structured Similarity Index and the Peak Signal to Noise Ratio. The computed PSNR value less than 10 indicates the input image and scrambled image has high variation. The SSIM value nearer to 0 indicates no similarity in the structure of the input image and scrambled image. 2024 IEEE. -
A Two-Pass Hybrid Mean and Median Framework for Eliminating Impulse Noise From a Grayscale Image
In a digital era, Image recuperation plays a vital role in the area of digital image processing. Image instauration offers more visualization on the quality of the image thereby eliminating noise. Elimination of Gaussian and impulse noise is a challenging problem in the area of image restoration. Rigorous research is pursued to restore salt-and-pepper (SAP) noise utilizing spatial filters. Mean and Median are two contributing spatial filters for eliminating impulse noise. This paper applies a two-pass hybrid mean and median framework on a corrupted grayscale image to replace salt and pepper noise. The hybrid framework is effectively restoring the image by abstracting the low, medium, and high-density impulse noise. The efficacy of the recommended strategy is evaluated by quantifying the peak signal to noise ratio and structural similarity index metric. The result obtained when compared with recent recuperation strategies outperforms to remove noise from grayscale images. 2021 IEEE -
Designing A New Encryption - Then - Compression System for Grayscale Images Utilizing Entropy Encryption
In the digital era, images and video sequences have dramatically increased newlinebecause of the rapid growth of the Internet and the widespread utilization of multimedia systems. The advancement in technology facilitates a faster way of transmitting data; however, the channel used for communication is an untrusted medium. The proposed research focus on the secure newlinetransmission of grayscale images over a social networking site (SNS) provider called the untrusted channel. Rigorous research has been conducted on the secure transmission of images and proposed different models, namely Compression-then-Encryption (CtE) Systems and newlineEncryption-then-Compression (EtC) Systems. In EtC, the encrypted information is transmitted over the channel. However, the channel is newlinecompressing the information to reduce the overall traffic. Due to the compression performed by the channel, the decryption process may fail on the receiver side. Constructing an efficient EtC model, as good as the standard compression algorithms, will address the gap in research. Four objectives were formulated, and schemes were proposed for each objective to address the problem. Two schemes were developed to address the first objective, eliminating noise incurred during transmission through the channel. The first scheme eliminates the noise using a two-pass hybrid mean and median filter. In the second scheme, a supervised curve fitting a linear regression model with a mean filter is applied. To secure the transmission of images over the untrusted channel, the objectives two and three address the scrambling and encryption of images. A hybrid of improved Arnold transforms and ElGamal encryption is experimented with in the first scheme to address scrambling and encryption. In this initially, a Block-wise scrambling is applied to the image, followed by pixels-wise newlinescrambling within the block followed by Arnolds transform. The outcome is given to ElGamal encryption. -
Bioremediation of Heavy Metal Contaminated Sites Using Phytogenic Nanoparticles
Heavy metals (HMs) accumulate in milieu due to various human activities that persist leading to biomagnification in food chains and cause unpleasant effects on human health and environment. Pollutants such as organic matter and HMs are reme-diated traditionally by chemical precipitation, electrochemical treatment, adsorption, reverse osmosis, ion exchange, coagulation, and photo-catalyzation, remained inef-fective. Use of nanomaterials conjugated with various compounds showed significant reduction in several contaminated sites. However, existing implication of nanotech-nology works with nanoparticles (NPs) synthesis majorly involved the use of chem-ical raw materials and physical methods which are relatively toxic and unstable. Aforesaid difficulties made researchers and entrepreneurs to reconnoitre effective, newer, and novel synthesis approaches for the replacement over older version. During the past decade, to overcome these issues plant-derived NPs are extensively used because of its less cost, efficiency, and eco-friendly in nature. Hence, advanced alternative technology like phytoremediation using nanomaterials with innovative techniques has been a boon for HM remediation. Efficiency of green synthesized NPs is based on redox reactions which makes metals stable facilitated by flavonoids and polyphenols responding to HM-stress. Several metal complexation processes are known to produce phytochelatins or other metal-chelating peptides helping the biore-mediation of HMs. Current chapter throws light on adaptive mechanism employed by NPs coupled with plant or microbial extracts in overcoming the HM stress. Further-more, here we also focus on the possible mechanism and interaction between NPs and HM in minimizing severity of polluted sites with many examples. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Corporate Default Prediction Model: Evidence from the Indian Industrial Sector
The unprecedented pandemic COVID-19 has impacted businesses across the globe. A significant jump in the credit default risk is expected. Credit default is an indicator of financial distress experienced by the business. Credit default often leads to bankruptcy filing against the defaulting company. In India, the Insolvency and Bankruptcy Code (IBC) is the law that governs insolvency and bankruptcy. As reported by the Insolvency and Bankruptcy Board of India (IBBI), the number of companies filing for bankruptcy under IBC is on a rise, and the industrial sector has witnessed the maximum number of bankruptcy filings. The present article attempts to develop a credit default prediction model for the Indian industrial sector based on a sample of 164 companies comprising an equal number of defaulting and nondefaulting companies. A total of 120 companies are used as training samples and 44 companies as the testing samples. Binary logistic regression analysis is employed to develop the model. The diagnostic ability of the model is tested using receiver operating characteristic curve, area under the curve and annual accuracy. According to the study, return on assets, current ratio, debt to total assets ratio, sales to working capital ratio and cash flow to total assets ratio is statistically significant in predicting default. The findings of the study have significant implications in lending and investment decisions. 2021 MDI. -
Enhancing Teacher-Student Engagement: The Role of Intellectual Humility
The book chapter explores the significant role of intellectual humility in cultivating strong teacher-student engagement within the landscape of education. It proposes that teachers modelling intellectual humility by admitting their mistakes and uncertainties signal students to take intellectual risks by asking questions or expressing their perspectives. Furthermore, the chapter also highlights that intellectually humble students are more open towards diverse viewpoints, are eager to learn from new information and expand their cognitive capacity, which are pivotal for active participation. Lastly, the chapter suggests various strategies for fostering intellectual humility in both teachers and students as well as for enhancing the advancements in the educational environments. 2026 by IGI Global Scientific Publishing. All rights reserved.