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1562 articles for “environment”
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A Comprehensive Review of Classical Thermodynamics:Principles, Laws, and Applications
Abstract: Classical thermodynamics, a fundamental branch of physics and engineering, provides a macroscopicframework for understanding energy, work, and heat interactions in physical systems. This reviewcomprehensively examines the principles, laws, and practical applications of classicalthermodynamics, emphasizing its enduring relevance in modern science and engineering. Beginningwith the foundational concepts of system, surroundings, state, and equilibrium, the study explores theformulation and significance of the four laws of thermodynamics. The Zeroth Law establishes the basisfor …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 19–26 Read article
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Animal Biotechnology: Finding a Balance Between New Ideas and Morality
Abstract: Animal biotechnology has become a revolutionary subject that combines genetics, farming, and medicine. It offers new ways to solve global problems like food security, disease management, and drug manufacturing. Scientists have used genetic engineering, cloning, transgenesis, and genome editing to make livestock more productive, generate animals that are immune to disease, and make useful scientific models. Transgenic animals are also being utilized more to make therapeutic proteins and help with …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints andthe Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remainslimited despite their potential to enhance genetic improvement, fertility rates, and overall productivity.This study explores the key constraints hindering the integration of ARTs, including artificialinsemination, embryo transfer, and ovulation synchronization, within small-scale dairy productionsystems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-culturalresistance are identified as primary barriers. Limited access to affordable credit, high costs ofreproductive inputs, and …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behaviour of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineeringstructures. However, the long-term durability of conventional steel reinforcement is often affected bycorrosion when exposed to aggressive environmental conditions, which can significantly reduce the servicelife and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer(GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensilestrength, light weight, and excellent …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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Experimental Investigation on Shear & Flexural Behavior of GFRP-Reinforced Concrete Beam
Abstract: Reinforced concrete (RC) beams are among the most commonly used structural elements in civil engineering structures. However, the long-term durability of conventional steel reinforcement is often affected by corrosion when exposed to aggressive environmental conditions, which can significantly reduce the service life and structural performance of concrete members. In recent years, Glass Fiber Reinforced Polymer (GFRP) bars have emerged as a promising alternative reinforcement material due to their high tensile …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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A Secured Check-In and Check-Out System Using Private Key Authentication and QR Code Verification Techniques for Daycare Management
Abstract: The safety and security of children in daycare centers remain a critical concern for parents and caregivers. Child daycare centers play a fundamental role in providing a safe and nurturing environment for children while their parents or guardians engage in work and other responsibilities. However, ensuring the safety and security of children in these facilities remains a major concern, particularly in monitoring drop-offs and pick-ups to prevent unauthorized access and …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 27–40 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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The Effect of Stand-off Distance and Blast Yield OverStructure in Blast Test
Abstract: AbstractExplosive loads have garnered a lot of attention lately because of numerous unintentional and deliberateoccurrences that have affected important structures all over the world. As a result, there has been a lot ofresearch in this area over the last ten years. Although most of the early studies were empirical, morerecent studies have progressed into thorough and organized studies that focus on understanding thebehavior of structures subjected to blast loading conditions. …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Chemical Synthesis Strategies and Reaction Mechanisms in Self-Healing Polymeric Materials: A Comprehensive Review
Abstract: Self-healing polymeric materials are one of the most rapidly growing and technologically transformative classes of smart polymeric materials. Such materials offer the ability to autonomously repair damage and retain & restore functional performance. This capability is very important for polymers, which undergo mechanical failure, micro- cracking, delamination, photo-oxidation, or thermal degradation during service environments. The last decade has been remarkable for developments in self-healing polymers, ranging from extrinsic capsule-based approaches …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 1, 2026 · pp. 26–34 Read article
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AN INTEGRATED COMPUTER-AIDED PROCESS PLANNING SYSTEM FOR THE MANUFACTURING OF A LEAF SPRING
Abstract: Computer-Aided Process Planning (CAPP) is a key enabling technology for integrating product design and manufacturing in a Computer Integrated Manufacturing (CIM) environment. This paper presents the development and implementation of an integrated, feature-based CAPP system for the manufacturing of an automotive leaf spring assembly. The proposed system bridges the gap between CAD and shop-floor activities by directly mapping design features to manufacturing operations. High-level manufacturing features such as base profiles, …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 10–23 Read article