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953 articles for “Generative AI”
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Comparative Analysis of Partial Product Addition in Vedic Urdhva Tiryakbhyam Multiplier
Abstract: Multiplication is one of important operations performed in many digital signal processing applications. Hence the performance of the multiplier will affect the overall performance of the DSP processor. The methods like booth multiplier, and array multiplier are used. Vedic multiplication technique had proved its importance in getting the speed of multiplication. It is required to add the generated partial products quickly, to generate the result of multiplication faster. To add …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 15–32 Read article
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Concept of Avartana in Ayurvedic Classics
Abstract: AbstractThere are many drug doses forms for drug delivery systems available in Ayurvedic classics. Snehapaka is one among these pharmaceutical processes. It is a method of preparation of medicated sneha (ghee or oil) and depending on stage of preparation, it is of three types. Among these, the madhyama paka sneha is used to administer orally. When this snehapaka is done repeatedly with drava dravya (decoction, milk, etc.) and kalka (paste) …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 3, Issue 1, 2014 · pp. 10–13 Read article
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E-Waste and Bio-Hydrometallurgical Recovery of Gold: A Review
Abstract: Current recycling and processing of e-waste are managed almost entirely by the informal sector or the unskilled labour in India. These amounts are about 95%. They adopt crude recycling activities. These cause irreversible health and environmental hazards. Also the loss of valuable materials results.This is due to the poor recovery of base and precious metals. Recycling done by the unskilled labour has been disclosed and an alternative recycling strategy which …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 5, Issue 2, 2015 · pp. 12–22 Read article
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Advanced survey techniques for mapping-A case study of ratnagiri hill Udaipur
Abstract: The research strives to enhance digital surveying methodologies for precise and detailed land mapping, utilizing advanced instruments like terrestrial scanners, SLAM scanners, total stations, DGPS, and drones. The survey conducted at Ratnagiri Hill in Udaipur aims to scrutinize and compare the merits and drawbacks of each surveying method. The study outlines a systematic process encompassing data collection, processing, output generation, and validation of survey techniques. It highlights the adaptability of …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 3, 2023 · pp. 43–55 Read article
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Solar Powered Outdoor Air Purifier with Air Quality Monitoring
Abstract: The Internet has a major challenge with air pollution. Numerous major health issues might be brought on by this dirty air. An air purifier serves as a life-saving aid for people who have breathing issues like asthma or sinusitis or who have lung disorders of any kind. An air purifier lessens the likelihood of health problems brought on by indoor pollution, which might directly cause neurological disorders, respiratory infections, or …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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AI-Integrated Graphene-Modified Polymer Interfaces for Real-Time Crack Detection and Autonomous Healing in Smart Concrete Structures
Abstract: This study presents the design and development of a graphene-reinforced multifunctional polymer composite interface engineered for structural reinforcement, self-sensing, and autonomous healing applications in cementitious systems. A thermosetting polymer matrix embedded with graphene nanoplatelets (0.25–1.5 wt.%) was developed to establish a conductive polymer nano-composite network. Electrical characterization confirmed a distinct percolation threshold at ~0.6–0.8 wt.%, beyond which a sharp increase in conductivity was observed due to the formation of interconnected …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 30–42 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Numerical Simulation of Multiple Objective Power Flow Optimization in IEEE-30 Bus System Using Improved Particle Swarm Optimization
Abstract: OPF algorithms are an important research topic for the management and orchestration of profitable power structures. Perfect Power Flow is used to limit the objective work. This goal cap can be a single goal or various aim limits. In this study, we have carried out a perfect energy stream to limit the cost of fuel while fulfilling limitations, such as the tension and the electricity yields of the generator, which …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 23–28 Read article
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Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–17 Read article
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Generation of Facial Expressions through Manipulating Facial Parameters
Abstract: Extracting discriminative features from salient facial patches plays an important role in effective facial expression recognition. The accurate detection of facial landmark needed to improve the localization of the salient patches on face images. This paper proposes framework for expression recognition by using appearance features of facial patches. By synthesize of emotional facial expressions through manipulating facial parameters, we aim to introduce facial emotion to a neutral facial image. For …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 33–38 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences
Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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A Brief Description of Vibration and Noise Control in Vehicles
Abstract: In the following paper, the advanced and present state of the art technologies in vehicle’s noise and vibrations control are described. Designers and manufacturers have to dedicate the majority of their skills in ensuring that a vehicle is stable in terms of generated noise and vibration furthermore vehicle manufacturer always pay attention to the global competition of their product, stick to government regulations and rider comfort while casting or designing …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 1–11 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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A Comprehensive review on phytomedicinal activity of chirchita (Achyranthes aspera): an Indian Rural Medicinal Plant
Abstract: Because it is used to treat many types of diseases. Native to India, Achyranthes aspera (Chirchita) has been used in rural medicine for generations.This review explores the phytomedicinal significance of Achyranthes aspera, focusing on its bioactive compounds and the pharmacological activities that support its use in treating various ailments. This plant is a useful tool in traditional and alternative medicine. Because it has anti-inflammatory properties Antioxidants Antibacterial, anticancer and liver …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 74–85 Read article
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Recent Developments in Hybrid and Nanostructured Basalt Fiber Composites: A Review of Mechanical and Processing Innovations
Abstract: This review delivers a critical analysis of recent advancements in basalt fiber-reinforced hybrid composites (BFRHCs), emphasizing their transformative potential for advanced structural and high-performance applications. Basalt fibers, derived from volcanic rock, exhibit superior tensile strength, excellent thermal stability, and chemical resistance, offering a sustainable and cost-effective alternative to conventional glass and carbon fibers. Hybridization of basalt fibers with synthetic (e.g., carbon, glass) and natural fibers (e.g., flax, hemp) results in …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 885–894 Read article
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A Comprehensive Energy Audit for Energy Efficiency Improvement in Commercial Building in Bangladesh
Abstract: As a developing country, Bangladesh is developing rapidly due to the increase in industry and technology. However, the country has been facing an energy crisis for many years to meet growing demand. Gradually, the gap between energy supply and demand is getting bigger and bigger. An effective way to close the gap is to conduct regular energy audits of all departments to help identify losses and wastes and provide room …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 12, Issue 2, 2021 · pp. 12–40 Read article