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321 articles for “Scaling Model”
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Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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A study on Bridging Chemical Transformation and Climate Feedbacks in the Earth System
Abstract: The atmosphere operates as a vast and complex chemical reactor, where minute-scale transformations exert profound influence on planetary-scale climate stability. This research investigates the multi-scale coupling between reactive tropospheric chemistry and large-scale climate feedbacks, challenging traditional modeling approaches that often divorce chemical kinetics from dynamic processes. By integrating high-resolution chemical transport models (CTMs) with comprehensive Earth System Models (ESMs), we map the flow of energy and matter from the molecular …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 1–8 Read article
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Personalized Nutrition and Exercise: Pioneering the Path to Precision Medicine
Abstract: Preventive healthcare is about to undergo a major shift thanks to the personalised exercise and nutrition paradigm, which is based on precision medicine concepts. In order to create tailored recommendations for improving health outcomes and preventing chronic diseases, this article explores the integration of genetic profiling, metabolic evaluation, and lifestyle factors. A person's response to food and exercise depends heavily on genetic and metabolic variances, which emphasises the need of …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 42–46 Read article
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Investigation of High reliable electric vehicles drive with fast charging system
Abstract: Per capita, India has the world's biggest battery electric vehicle market. For the last several years, there has been a lot of discussion about the challenges and prospects of integrating electric vehicles (EV) with an electric grid. A battery model of an EV should have suitable control mechanisms to interact with an electric grid. The growth of and accessibility of fast-charging technology is one of the many technological concerns being …
Published in Trends in Electrical Engineering · Vol. 15, Issue 1, 2025 · pp. 44–50 Read article
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Development of a Sustainable Mini Powerhouse for a Micro Steam Power Plant
Abstract: This study outlines the steps taken to sustain and relocate a mini powerhouse for a 5 kW steam power plant, addressing previous structural and environmental inefficiencies. Due to corrosion, instability, and inadequate thermal management at the original site, a new location was selected and reinforced to meet these challenges. Key changes included site preparation involving granites and other structural support materials, enhanced thermal insulation, and improved ventilation systems. Performance evaluations …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 20–29 Read article
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Pharmacogenomics: Unlocking the Genetic Basis of Drug Response for Precision Medicine
Abstract: Pharmacogenomics, a fusion of pharmacology and genomics, explores how genetic variations influence individual responses to medications. This field is revolutionizing modern medicine by moving away from a one-size-fits-all approach toward personalized treatment strategies. By identifying specific genetic markers, pharmacogenomics aims to enhance drug efficacy, minimize adverse drug reactions, and improve overall patient outcomes. Key methodologies in this discipline include candidate gene analysis, genome-wide association studies, and haplotype analysis, all of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
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A Survey on Hydrogen Storage System using Composite Material and its Alloys
Abstract: The transition to a carbon-neutral energy landscape hinges on the ability to store hydrogen safely, densely, and reversibly. While high-pressure tanks and cryogenic vessels dominate today’s infrastructure, solid-state storage in metallic alloys offers a compelling alternative by combining high gravimetric capacity with intrinsic safety to form a composite material. This work presents a systematic investigation of a family of reversible hydrogen-absorbing composite material alloys—principally Mg-based intermetallics (Mg₂Ni, MgFeMn) and TiV-based …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 35–42 Read article
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Parameter Identification at Large Scale through Solution of the Inverse Problem
Abstract: The fundamental benefit of groundwater modeling is to predict the response of the aquifer to the proposed man-mad excitation (e.g., pumping artificial recharge). Inverse analysis is frequently used for large-scale real-world problems, where the number of unknown parameters that will fully represent the heterogeneity becomes very large and the inverse analysis solution becomes ill-posed, to overcome this problem, in the present paper the study domain is divided into zones connected …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 25–39 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems
Abstract: The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Innovative Approaches to Fake Product Detection: Blockchain and QR Code Synergy
Abstract: For consumers, corporations, and regulatory agencies, the worldwide market's rise of counterfeit goods presents serious issues. Maintaining consumer confidence, guaranteeing product safety, and preserving brand reputation all depend on the ability to identify counterfeit goods. An overview of the different approaches and difficulties associated with spotting counterfeit goods is given in this abstract. First off, the ability to identify sophisticated counterfeit goods is limited by the use of conventional techniques …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Simulation of a Renewable Energy Hybrid MicroHydro-Wind-PV-Solar System for Electric Generation
Abstract: This project is based on the development of a renewable energy hybrid tri-system made up of a photovoltaic device, a small wind turbine and a micro hydraulic turbine to generate electricity in places where these renewable energy resources are available. The system pursues the reduction of energy dependence on local electric network as well as the greenhouse gases emission. The project will be theoretically modelled and verified in a small …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 2, 2022 · pp. 37–50 Read article
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Electrified Skateboard Simulation Using QSS Toolbox
Abstract: AbstractThe proposed aim of Electrified Skateboard is to scale down the conversion of existing vehicles running on the Internal Combustion Engine (ICE) to Battery Electric Vehicles (BEV) using Retrofitting Techniques. This approach is specifically aimed at the conversion of vehicles on a small scale. It is an interdisciplinary research model that is designed to keep in view of upcoming E-Mobility and Renewable Energy markets. Governments and Companies around the world …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 1, 2020 · pp. 18–25 Read article
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Production, Characterization and Toxicological Evaluation of Eco-Friendly Flavolipid Biosurfactant
Abstract: At present majority of surfactants are chemically synthesized. Nevertheless, in recent years, much attention has been directed towards biosurfactants due to their broad range of functional properties, there are cheaper as they can be produced from alternative sources. They have applications in the fields, such as: oil recovery process, as an additive in food processing industry, pharmaceuticals preparations, energy saving technologies etc. As they are being microbial derivatives, it is …
Published in Research and Reviews: A Journal of Toxicology · Vol. 4, Issue 1, 2014 · pp. 16–21 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Myco-Engineering Systems: Harnessing Fungal Networks for Carbon Sequestration and Sustainable Ecosystem Restoration
Abstract: Fungal organisms play a foundational role in global ecosystem stability, particularly through their contributions to nutrient cycling, soil regeneration, and carbon sequestration. Recent scientific advances have highlighted the potential of fungal mycelial networks as natural bioengineered systems capable of supporting sustainable environmental restoration. This paper introduces the concept of Myco-Engineering Systems, an interdisciplinary framework that integrates fungal biology, environmental science, and artificial intelligence (AI) to enhance carbon capture and ecosystem …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 11–22 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article