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892 articles for “AI Model”
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Atmospheric Boundary Layer Processes: Impacts on Weather Patterns and Climate Change
Abstract: The atmospheric boundary layer (ABL) is a vital component of the Earth's climate system, acting as the interface between the terrestrial surface and the overlying atmosphere. This layer, typically extending from the surface to a height of a few hundred meters, is characterized by strong gradients in meteorological variables such as temperature, humidity, wind speed, and atmospheric pressure. Understanding the dynamics of the ABL is essential for comprehending weather phenomena, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them.In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system,weareusing a real time object detection using YOLOv3 model.‘You only look …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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The Effect of Occupational Safety and Job Satisfaction on Nurses’ Perceptions of Their Profession
Abstract: Aim: Nurses’ perceptions of profession are critical to the quality of healthcare services. This study aimed to identify the effect of occupational safety and job satisfaction levels on nurses’ perceptions of their profession. Methods: The research was structured following the relational screening model. The participants were 421 nurses who completed instruments consisting of a Personal Identification Form, the Occupational Safety Scale in Hospitals, the Minnesota Satisfaction Questionnaire and the Nursing …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 12–25 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Computational Analysis of Leaf Spring System with Functionally Graded Materials Using ANSYS
Abstract: Leaf springs are important parts of a vehicle’s suspension system, and their main function is to absorb shocks, improve stability, and make the ride more comfortable. Traditionally, ASTM A36 steel is used because it is strong, long-lasting, affordable, and easy to get. However, this type of steel is very dense, which makes vehicles heavier. This extra weight makes the vehicle less efficient and increases emissions. Because of these issues, there …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 380–397 Read article
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A Critical Study of Research Challenges for Self-adaptive Software
Abstract: Software systems dealing with distributed applications in changing environments normally require human supervision to proceed with activity in all conditions. These rearranging, investigating, and all in all upkeep errands prompt exorbitant and tedious strategies amid the working stage. These issues are principally because of the open-circle structure regularly followed in programming advancement. Hence, there is popularity for administration many-sided quality decrease, administration mechanization, vigor, and accomplishing the majority of the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Design and Analysis of G+4 Building with Ductile Detailing
Abstract: This study presents the structural design and analysis of a G+4 residential building, with a specific focus on ductile detailing to enhance seismic performance. Ductility plays a crucial role in enabling structures to absorb and dissipate energy during seismic events, thereby minimizing structural damage and improving safety. The project emphasizes key reinforcement strategies such as beam-column junction detailing and confining reinforcement, which are critical to preventing brittle failures and improving …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Secure Framework for Government Tender Allocation
Abstract: Governments and public sector entities worldwide are actively seeking innovative strategies to adapt to rapid technological progress, aiming to enhance governance effectiveness, streamline work processes, and optimize expenditure. Blockchain technology stands out as a prime example, captivating the interest of governments globally in recent years. Its ability to offer heightened security, enhanced traceability, and cost-efficient infrastructure positions blockchain as a versatile solution applicable across diverse sectors. Typically, governments engage third-party …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 23–27 Read article
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Harnessing Nature: Formulations for Colon Cancer Prevention and Treatment
Abstract: Colon cancer, a rapidly advancing disease worldwide, involves the carcinogenesis of the distal part of the intestine. This malignancy progresses through various developmental stages necessitating diverse treatment approaches. Traditional treatments include drug therapy and chemotherapy; however, emerging methods, such as the use of phytochemical compounds offer promising mechanisms for combating this disease. Phytochemical compounds derived from natural food sources, including flavonoids, tannins, resveratrol, and epigallocatechin-3-gallate, exhibit potent anti-cancer properties. They …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 11–23 Read article
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Comparative Analysis of Disc Brake Using Eco-Friendly Material
Abstract: Brakes are crucial components for slowing or stopping the vehicle. Almost all vehicles use disc brakes. The working of a disc brake is simple; when the brake pedal is pressed, braking pads are forced mechanically against the rotor or disc on both surfaces. The friction generated between the rotor and brake pads slows down the vehicle. The design and materials of disc brakes play a significant role in their performance. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 532–544 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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A Critical Review of Generative Design Methods in Computer-Aided Drafting
Abstract: In the realm of Computer-Aided Drafting (CAD), generative design methods have become a potential strategy for automating and enhancing the design process. These methods generate a wide range of design possibilities based on given characteristics and limitations by using algorithms and computational tools. The objective of this critical study is to assess the benefits, drawbacks, and implications of generative design techniques in CAD. A notable result of this merger is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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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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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Optimized Structural Design and Prototyping Techniques for Polymer-Matrix Composites in Manufacturing
Abstract: Material called polymer-matrix composites (PMCs) have become very important in modern industry because it is strong and light. To get the most out of them, structure construction must be optimized and advanced testing methods must be used. In this brief, the strategies and methods for improving the performance, lowering prices, and speeding up the production process of PMCs through structural design and prototyping are explained. Optimizing structural design starts with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 145–161 Read article