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365 articles for “Training and Development”
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Utilization of Coal, Natural Gas and Water for Sustainable Power Generation in Nigeria: Challenges, Prospects and Way Forward
Abstract: Energy mix development is critical for national economic growth, optimal performance of industries and sustainable development in most nations of the world. This study examines the extent of the utilization of coal, natural gas and water for sustainable power generation and provision of competitive energy in Nigeria. Secondary data analysis was used in this research to analyze the data collected from the various literatures and documentary archives. Challenges facing this …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 1, 2022 · pp. 7–13 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Generic Virtual Mouse
Abstract: The mouse and keyboard have been replaced by new input mechanisms brought about by the quick development of Human-Computer Interaction (HCI). Using computer vision and deep learning techniques, this study explores the possibility of replacing actual mouse inputs in a computer system with hand gestures. We created a virtual mouse system that uses a normal webcam to record hand motions. Computer vision algorithms then process these gestures to handle mouse …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Unveiling Empowerment: Evaluating Entrepreneurial Effectiveness of Self-Help Groups in Murshidabad and South 24 Pargana
Abstract: Self-help groups (SHGs) have played an essential role in the socio-economic upliftment of society, especially in West Bengal over the last decades. Analytically discussing gender dimensions in the SHGs, this paper scrutinizes the efficiency of the two districts, namely, Murshidabad and South 24 Parganas considering certain parameters. Based on the analysis of the parameters of the empowerment indicators and socio-economic effects of the SHGs, the paper explains to what extent …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 23–33 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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Artificial Intelligence-based Chatbot for Disease Prediction
Abstract: Nowadays leading a healthy lifestyle is very important. Sometimes it is even difficult to find proper medical consultation in unsocialized and remote areas. One such solution to these issues is the development of an Artificial Intelligence based Chatbot for Disease Prediction. A Chatbot is a software program that simulates human conversations, through AI’s Natural Language Processing (NLP) capability. A text-to-text chatbot for disease prediction can involve patients into an interactive …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 29–36 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Role of Public Libraries in Bridging the Digital Divide: Ensuring Equal Access to Online Library Resources
Abstract: In the digital age, access to online library resources has become an essential part of learning, research, and development. However, the digital divide continues to be a significant challenge, limiting equitable access to these resources for many individuals, particularly those from marginalized communities. Despite the vast transformation the internet has brought to information access, the gap between the digitally privileged and disadvantaged populations persists due to factors such as digital …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 10–14 Read article
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A Descriptive Study to Assess the Psychosocial Dysfunction among Adolescents Studying in Jammu Public School, Jammu
Abstract: The period of growth and development between childhood and maturity is known as adolescence. This period of life is the crucial period for adolescents, for their physical and social adjustment. If proper care and attention are not provided during this time of transition, teenagers are more likely to develop a variety of psychosocial issues that will have a lasting effect. Our research study was to assess the psychosocial dysfunction among …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 2, 2022 · pp. 1–8 Read article
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Risk Management Practices Focusing on Pakistan
Abstract: From past many decades, human beings are suffering from disasters leading to adverse impacts, also causing destruction of life, property and other infrastructure. Different regions of the world are suffering from different hazards and disasters because of different geographies. It has been observed that Asia is more prone to disasters because of its topography and climatic conditions. In the developing countries like Pakistan, disasters are occurring almost every year. The …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 3, 2014 · pp. 6–10 Read article
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The Road Map of Jindal’s and Tata’s CSR Towards the Upliftment of Handicraft Workers at Ranchi District in Jharkhand State
Abstract: The purpose of this research is to look into the Corporate Social Responsibility (CSR) activities undertaken by Tata and Jindal Group to help handicraft artists. Handicrafts are an essential element of India's cultural history and a source of income for many rural populations. However, the industry has several obstacles, including a lack of market access, poor pay, and training opportunities. Two of India's major corporate houses, Jindal and Tata Group, …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 25–35 Read article
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Usefulness of Video Assisted Education Programme Concerning Awareness on Management of Selected Nutritional Deficiency Disorders Among Mother of Adolescent Girls at Selected Rural Area of Kolar Taluk
Abstract: Background: With an estimated 190 million adolescents, 22% of whom are girls, India has one of the fastest increasing youth populations in the world. Adolescence, as defined by the WHO, is the period between the ages of 10 and 19, which provides a window of opportunity for improving nutritional status and reversing unhealthy eating habits. A growth spurt, or a time when growth is incredibly rapid, is what defines adolescence. …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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Effects of Reels and short videos on human mind and Academic Life
Abstract: The rapid rise of short-form video platforms such as Instagram Reels, TikTok, and YouTube Shorts has fundamentally reshaped the way people consume information and entertainment. While these applications offer quick engagement and social connection, their excessive use has raised serious concerns about their psychological and academic impacts. This research investigates the relationship between short-form video addiction, mindfulness, academic anxiety, and academic engagement among university students. Drawing upon the theoretical framework …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 22–33 Read article
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Blind Image Quality Assessment: An Overview
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach relies on a simple Bayesian inference model to predict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The estimated parameters of the model are …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 1–3 Read article