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135 articles for “assisted optimization”
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Polymeric Materials in Assistive Devices for Cerebral Palsy: Advances and Applications
Abstract: The neurological condition known as cerebral palsy (CP) impairs muscle coordination and movement often necessitating assistive devices for mobility, support, and rehabilitation. These devices are crucial for enhancing CP patients' quality of life by boosting their independence, comfort, and overall functionality. Recent advancements in polymer chemistry have revolutionized the development of assistive devices, offering enhanced flexibility, durability, and biocompatibility. The integration of polymeric materials in orthotic supports, adaptive braces, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 316–322 Read article
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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Magnetic and Radioactive Nanoparticles for Improved Theranostics and AI Assisted Radiation Therapy
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. The sensitivity, biocompatibility, and stability of magnetic and radioactive nanoparticles determine their functionality. This research highlights the impacts of magnetic and radioactive nanoparticles on therapeutic techniques namely, cell therapy, gene therapy, and tissue regeneration. Then, it is intended to brief a principal role of these therapeutic techniques to envisage theranostics medicine and radiation therapy using …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 10–21 Read article
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Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare
Abstract: The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1535–1550 Read article
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Managing Blow-by in Modern Engines: A Comprehensive Review of Crankcase Ventilation Technologies
Abstract: Blow-by in internal combustion (IC) engines occurs when high-pressure combustion gases escape past the piston rings into the crankcase. These gases typically carry oil aerosols, unburned hydrocarbons, and fine particulate matter, which, if not effectively managed, can disrupt lubrication, accelerate component wear, and contribute to harmful emissions. Effective crankcase ventilation is therefore essential not only for ensuring engine durability but also for meeting increasingly stringent emission regulations. This paper examines …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 317–324 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
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Solar-Responsive Photo-Thermal Polymer Composites with Carbon Nanostructures for On-Demand Water Purification
Abstract: The development of solar-responsive polymer nanocomposites offers a sustainable pathway for water purification. In this work, polyvinyl alcohol (PVA) films reinforced with graphene nanoplatelets (GNPs) and multi-walled carbon nanotubes (MWCNTs) were fabricated and systematically investigated for their mechanical, thermal, viscoelastic, and thermal transport properties. Neat PVA displayed moderate tensile strength (~38 MPa) and high elongation (~165%), whereas 1.0 wt% nanofiller loading enhanced tensile strength to ~52 MPa and modulus to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 199–209 Read article
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NeoVax: Smart Child Vaccination and Monitoring Platform
Abstract: Child vaccination plays a crucial role in preventing life-threatening diseases and ensuring long-term public health. Despite the availability of structured immunization programs, many children miss scheduled vaccinations due to lack of awareness, busy lifestyles of parents and absence of effective reminder systems. This research paper presents NeoVax, a smart and user-friendly child vaccination reminder and management system designed to address these challenges using digital technology.NeoVax is an Application that enables …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 14–20 Read article
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AI EdTech Synergy: From Chalkboards to Smartboards
Abstract: Beyond textbooks and classrooms, AI paints a future from adaptive tutors to immersive realities. AI is not just a tool sculpted by algorithms but an architect of a learning revolution where knowledge becomes truly boundless. The convergence of AI marks an era of revolution in learning, promising individualized learning pathways, optimized evaluative metrics, interactive virtual pedagogies, and enhanced accessibility. This convergence examines the emergent field of AI-powered educational innovation, shedding …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article
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Intelligent Robotics using microelectronics Exploring the Future of Smart Machines
Abstract: In the past few years, robotics technology has made remarkable progress. In order to assist humans in their work, robots that can recognise and track people are required; as a result, tools like the "Human Following Load carrier" that can converse and live with people must be created. Localising the robot and its surroundings is one of the primary obstacles in enabling the robot to do different jobs in the …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Microwave-Assisted Synthesis of Li₃Ba₂Gd₃(MoO₄)₈ Phosphors Doped with Pr³⁺ and Sm³⁺ for High-Performance Red Emission in LED Applications
Abstract: In this study, we report the successful synthesis of Li₃Ba₂Gd₃(MoO₄)₈ (RE³⁺ = Pr³⁺, Sm³⁺) phosphors using a novel, microwave-assisted solid-state reaction method at ambient temperature. The synthesis involved the use of analytical grade reagents including Lithium Nitrate (LiNO₃), Barium Nitrate, Gadolinium Nitrate (Gd(NO₃)₃·6H₂O), Ammonium Molybdate ((NH₄)₆Mo₇O₂₄·24H₂O), and high-purity oxides of Praseodymium (Pr₂O₃) and Samarium (Sm₂O₃). The reagents were mixed in stoichiometric ratios, ground thoroughly in a pestle and mortar, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 18–32 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Evaluating the Efficacy of Implosion Water Treatment Versus Traditional Methods
Abstract: The first worry of all people is the quality of the water. The majority of the water that is accessible is unfit for immediate usage. Certain methods are frequently employed to purify water for optimal use. These methods include UV treatment, chemical treatments, reverse osmosis, filtration, and ultrafiltration, among others. Each of these water treatment methods is applied separately or in combination. There are benefits and drawbacks to each of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 10–21 Read article
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Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article