Search
652 articles for “TE domain”
-
Algorithmic Ecology: A Framework for Achieving Carbon-Neutrality in Global Data Infrastructure
Abstract: The exponential growth of digital infrastructure has positioned data centers as critical enablers of the global digital economy, yet their environmental impact has become a paramount concern. Data centers consumed approximately 205 TWh globally in 2018, representing about 1% of global power usage with a steady 6% growth trend. This review synthesizes current literature on green algorithms and sustainable data center technologies, examining the intersection of artificial intelligence, machine learning …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 33–48 Read article
-
Short Review on Fluid Mechanics with the Domain of Nanotechnology for Applications in Nuclear-Reactors
Abstract: In this work, a brief review on microfluidic flow is provided. Also, the brief ideas on very large scale integration (VLSI) circuits are provided. A single polymethylmethacrylate (PMMA) based gradual expansion microchannel is fabricated by the maskless lithography, hot embossing lithography and direct bonding technique. Surface-driven microfluidic flow of dyed water is recorded in the fabricated device using a CMOS camera catching 25 frames per second with a corresponding time-scale …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 23, Issue 2, 2021 · pp. 45–50 Read article
-
Innovaluation: The Skill Set for Make in India Initiative in IOT Era
Abstract: This work attempts to analyze the role of new manufacturing scenario, in the IOT (Internet of things) era which has facilitated manufacturing automation, while simultaneously witnessing unprecedented competitiveness. Manufacturing has been threatened in most of the world except in China and USA, and awaits an action for a speedy recovery. One of the modes to revival is projected through all round cost cutting. To affect cost cutting, it is envisaged …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 26–40 Read article
-
The Applications, Impact, and Future of Blockchain Technology in Agriculture
Abstract: Blockchain is one of the most interesting and controversial research topics today. Blockchain technology was first deployed in the financial sector. Nevertheless, it is currently applied in various domains, including healthcare, smart cities, smart contracts, energy markets, and the government sector. The efficacy of this technology primarily depends on the following attributes: reliability, transparency, and immutability. This article gathers and examines the primary contributions from the literature regarding the utilization …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 12–22 Read article
-
OpenCV, AI, and Haar Cascade File: A Review
Abstract: Real-time image processing applications using OpenCV encompass a diverse and crucial array of tasks in modern technology. OpenCV's robust capabilities enable the implementation of object detection and tracking, which are vital for surveillance systems to monitor and analyze activities in real time. In the realm of security, face recognition technology, powered by OpenCV, provides accurate and efficient identification and authentication, enhancing safety measures. Gesture recognition, another significant application, facilitates intuitive …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 39–46 Read article
-
Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
-
Modern Physics Approaches to Light-Matter Interaction
Abstract: Light-matter interaction is crucial to numerous fundamental and applied phenomena in contemporary physics, encompassing quantum optics and materials science. This study examines modern methods for comprehending and controlling the interaction between electromagnetic radiation and matter, focusing on both theoretical frameworks and experimental progress. The interaction between light and matter is a fundamental aspect of contemporary physics, forming the basis for phenomena that include the essential principles of vision and photosynthesis, …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 10–19 Read article
-
Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Addressing Security Challenges in Cloud Computing for Healthcare Systems: A Comprehensive Survey
Abstract: Mobile cloud computing (MCC) emerges as an innovative technology revolutionizing mobile web services by combining the domains of mobile computing, cloud computing, and wireless networks. In the healthcare sector, MCC plays a pivotal role in transforming medical services, offering novel facilities and services to patients and caregivers alike. The adoption of MCC by healthcare professionals (HCPs) has led to a surge in medical software applications designed for these platforms, consequently …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 18–27 Read article
-
Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
-
Computer, Animation and Aesthetic Expressions
Abstract: The integration of computers, animation, and aesthetic expressions has revolutionized creative industries, enabling the development of highly immersive and visually engaging content. This interdisciplinary field combines computer science, digital animation techniques, and the principles of visual aesthetics to craft experiences that resonate with audiences on both intellectual and emotional levels. Through advanced algorithms, artificial intelligence, and innovative rendering techniques, modern animation blends technical precision with artistic design to create dynamic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 01–06 Read article
-
Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
-
Revolutionising Marketing: Leveraging Blockchain and AI for Impactful Management
Abstract: In today's rapidly evolving business landscape, marketing management faces numerous challenges, including effective decision-making, customer engagement, and data security. Advanced technologies like AI and Blockchain have revolutionized the marketing domain, providing novel solutions to address these challenges. AI plays an essential role in marketing management through its utilization of data analysis, predictive modelling, and automation, providing marketers with the ability to extract valuable insights from extensive data sources, facilitating data-informed …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 26–33 Read article
-
Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article
-
Cyber Security and International Relations: Navigating the Digital Battlefield
Abstract: In the interconnected world of the 21st century, the sphere of international relations extends into the digital realm, where cybersecurity has become an arena of strategic importance. This intricate interplay of technology and geopolitics has birthed a digital battlefield where state and non-state actors engage in actions ranging from espionage to sabotage, thus influencing global stability and order. The phenomenon of cybersecurity in international relations involves multiple facets, including but …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 12–19 Read article
-
Artificial Intelligence Techniques for Image Dehazing: A Review
Abstract: This review explores the application of artificial intelligence (AI) techniques for image dehazing, addressing the pervasive challenge of enhancing image quality in hazy or foggy conditions. Traditional dehazing methods and their role as a foundation for AI-based approaches are discussed. Deep learning-based methods, including single-image and multi-image dehazing, are examined, highlighting their strengths and limitations. Data-driven approaches, leveraging large-scale datasets and domain adaptation, are also investigated. Furthermore, the review outlines …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 26–30 Read article
-
Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
-
Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
-
The Time and Frequency Response of Shielded Transformer Windings
Abstract: A distributed-parameter model is presented for the transient and frequency analysis of power transformers’ windings in the presence of electrostatic shielding, a technique occasionally applied for improving their initial voltage distribution. The s-domain solution takes into account the windings’ circuit parameters with special emphasis on the additional distributed capacitances between the windings’ conductors and the conducting shield which is connected to the windings’ line terminal. The closeness of the resulting …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 2, 2014 · pp. 33–47 Read article
-
Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article