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454 articles for “Prediction”
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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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Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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Cloud-Based IoT Monitoring System for Pump Canal Operations: A Case Study of Narayanpur Pump Canal, Mirzapur
Abstract: Abstract The technical paper presents a comprehensive analysis of the Internet of Things (IoT)-based cloud monitoring system deployed at the Narayanpur Pump Canal (NPC), Chunar, Mirzapur, Uttar Pradesh. The system, operationalized in September 2024, provides real-time remote monitoring of 15 critical parameters across 14 pump sets through cloud-based analytics, automated alerts, and intelligent dashboards. The paper evaluates the technical architecture, demonstrated operational benefits – including a documented case of preventing …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 49–68 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 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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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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An Overview on Metal Processing using Machine Learning
Abstract: Metalworking, which is an important part of modern industry, includes a wide range of steps, such as shaping and casting the metal, machining it, and riveting it. The industry has always relied on trial and error and other empirical methods, but machine learning (ML) is now causing a big change. It is expected that this change will lead to higher production, better product quality, and better use of resources. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 43–53 Read article
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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article
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Recent Advances in the Development and Performance Optimization of Advanced Metallic Alloys
Abstract: The continuous demand for high-performance materials in aerospace, automotive, energy, and biomedical industries has accelerated research and development in advanced metallic alloys. Metallurgy and alloy design play a crucial role in achieving superior mechanical, thermal, and chemical properties while maintaining cost efficiency and sustainability. This study presents a comprehensive overview of recent advances in metallic alloy development, focusing on novel alloying strategies, microstructural control, and performance optimization techniques. Emphasis is …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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A Overview on Reimagining MOSFET as Precision Thermal Sensor
Abstract: In the landscape of modern microelectronics, the transition from discrete sensing components to fully integrated silicon solutions have become a necessity for the advancement of the Internet of Things (IoT) and high-performance computing. This design explores the utilization of the MOSFET as a primary temperature-sensing transducer, leveraging its inherent thermal sensitivity rather than treating heat as a parasitic interference. By operating the MOSFET in the subthreshold (weak inversion) or saturation …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 8–13 Read article
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Front-End Converters for Power Quality Enhancement in EV Chargers: A Review
Abstract: The increasing growth of electric vehicle (EV) adoption has increased the need for charging infrastructure that is efficient, reliable, and works well with the grid. Front-end converters (FECs) are very important for making sure that power quality is good and that international standards are followed. They are located between the utility grid and the power conversion stages of EV chargers. This research paper offers an extensive examination of front-end converter …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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High-Tech Battery Management Systems with Integrated Battery Electronics
Abstract: “Sophisticated BMSs with onboard battery electronics are a paradigm shift in battery technology, sensitive enough to meet the increasing needs of contemporary applications like electric vehicles, renewable energy storage, and portable devices. This paper discusses the architecture and functional aspects of the integrated systems in optimizing performance, safety, and lifespan through real-time monitoring and control of individual cells. Integrating critical electronics directly onto the battery structure, such systems minimize complexity …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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Enhancing the strength and flexibility of crowns and bridges: advances in materials, design, and nanotechnology.
Abstract: The continuous advancement in restorative dentistry has led to the integration of nanotechnology in the fabrication of crowns and bridges, significantly enhancing their mechanical and functional performance. Nano-enhanced materials, including nanoparticle-reinforced resin matrices, nanostructured ceramics, and nano-modified adhesive systems, demonstrate superior properties compared to conventional materials. These improvements are largely attributed to the uniform dispersion of nanoparticles, which enhances filler–matrix bonding, increases surface interaction, and reduces microstructural defects, resulting in …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Design Strategies for Future Ready Residential Buildings: A Case for Dehradun
Abstract: Dehradun, a city in foothills of Himalayas, is experiencing rapid urbanization and lifestyle shifts. Since it is the capital city of Uttarakhand, these changes are reshaping housing patterns and creating pressing challenges for architects to design spaces that can accommodate evolving user needs. This research aims to investigate how residential spaces in Dehradun have transformed over time, and how architects can design flexible, future-ready homes that anticipate long-term changes in …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 33–43 Read article