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1755 articles for “deep”
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Development of Environmentally Friendly Concrete by Incorporating Rubber and Leather Waste
Abstract: The valorization of post-consumer polymeric waste into high-performance composite materials offers a sustainable strategy for advancing circular economy principles and reducing environmental impacts.This study investigates the feasibility of utilizing recycled crumb rubber from end-of-life tires and leather-derived polymeric waste from the footwear industry as sustainable fillers in polymer-modified cementitious composites. Crumb rubber and processed leather waste were incorporated as partial replacements for natural fine aggregate at replacement levels of 0%, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 547–563 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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Road Maintenance by Pothole Detection and Filling Robot
Abstract: Road infrastructure plays a vital role in ensuring safe and efficient transportation; however, potholes remain a major challenge due to their impact on road safety, vehicle maintenance costs, and traffic flow. Traditional pothole inspection and repair methods rely heavily on manual labor, making the process time-consuming, costly, and potentially hazardous for workers. To address these limitations, this paper presents a Pothole Detection and Filling Robot, an intelligent robotic system designed …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 39–46 Read article
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Electrically Conductive Micro-Aluminum Reinforced Polymer Composites for IoT-Enabled Lightweight Antenna Housings
Abstract: Electrically conductive polymer composites have emerged as promising multifunctional materials for lightweight antenna housings by integrating structural strength, electrical conductivity, thermal stability, and electromagnetic interference shielding. In this study, micro-aluminum reinforced Acrylonitrile Butadiene Styrene (ABS) polymer composites were fabricated using twin-screw melt compounding followed by compression molding for IoT-enabled lightweight antenna housing applications. The influence of micro-aluminum loading on microstructure, mechanical performance, electrical conductivity, EMI shielding, thermal stability, and wireless …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Intelligent Network Slicing and Adaptive Switching for Ultra-Low-Latency 6G Communications
Abstract: The rapid evolution of sixth-generation (6G) wireless communication networks demands intelligent and adaptive network management mechanisms capable of supporting ultra-low-latency, massive connectivity, high reliability, and heterogeneous service requirements. This study proposes an Intelligent Network Slicing and Adaptive Switching (INS-AS) framework for optimizing communication resources and minimizing end-to-end latency in 6G environments. The proposed framework dynamically creates and manages logical network slices according to application-specific requirements, including enhanced mobile broadband, ultra-reliable …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Unveiling Actionable Pathogenic Genes for Precision Oncology in Brain Cancers: Glioblastoma and Astrocytoma
Abstract: Glioblastoma (GBM) and astrocytoma are aggressive primary brain tumors characterized by significant molecular heterogeneity, complicating effective treatment. This study employed targeted next-generation sequencing of 529 cancer-associated genes on matched tumor-normal pairs from GBM and astrocytoma patients. Somatic variants were identified using a rigorous bioinformatic pipeline adhering to GATK Best Practices, with variant allele frequencies (VAF) calculated to assess clonal dominance. Functional annotation and driver mutation classification were performed using Ensemble …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 43–59 Read article
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Fundamentals and Recent Advances in Microreactor Catalysis and Flow Chemistry
Abstract: The processing technology of chemical reactions has changed quite a bit over the last few decades. For a long time, chemists relied on batch reactors having large containers where all the starting materials are mixed, and the reaction happens in one go. While this approach works, it has several drawbacks: poor heat control, uneven mixing, safety risks, and a lot of waste. Microreactors and flow chemistry offer a much better …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 07–18 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Protein Misfolding and Aggregation : A Chemical Perspective
Abstract: Research on protein misfolding has identified several important diseases in which abnormal protein structures play a major role. In Alzheimer’s disease, Amyloid-beta (Aβ) peptides and Tau proteins can misfold and accumulate. Prion diseases are unusual because a misfolded protein can act as a template and encourage other normal proteins to adopt an abnormal structure. Understanding the chemistry behind protein folding is therefore important not only for basic research but also …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 2, 2026 Read article
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Experimental Analysis and Validation of Cellulose Fibre Insulation Structures Considering Thermal Properties
Abstract: Cellulose fibre insulation structures made from used newspaper can be installed in attics, filling gaps between doors and windows. Many researchers focused on loose-filled cellulose fibre insulation. This study investigates the thermal conductivity, R- Value and thermal transmittance of cellulose fibre insulation manufactured from recycled cellulose materials with densities ranging from 280 to 360 kg / m³ and specimen thicknesses of 10 – 30 mm. A total of 25 structures …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Artificial Intelligence for Sustainable Agriculture, Forestry and Rural Development: Recent Advances, Applications and Research Opportunities
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize agriculture, forestry, and rural development by enabling data-driven decision-making, resource optimization, and sustainable management practices. Rapid developments in computer vision (CV), machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics have increased the use of AI in a variety of rural industries. In agriculture, AI-driven technologies support precision farming, crop yield prediction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Machine Learning Approaches for Intelligent Network Traffic Management in 6G
Abstract: The increasing adoption of smart devices, Internet of Things (IoT) technologies, cloud-based services, autonomous applications, and multimedia platforms has greatly enhanced the demands and complexity of modern wireless communication networks. To meet these evolving requirements, upcoming sixth-generation (6G) communication systems are anticipated to deliver extremely high data transmission speeds, support a vast number of connected devices, ensure minimal communication delays, enable intelligent network management, and provide seamless real-time connectivity for …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 19–32 Read article
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AI-Based Indian Sign Language Translator
Abstract: Indian sign language (ISL) is the primary form of communication for a large number of deaf and hard-of-hearing people within the Indian subcontinent. However, their interactions with non-signers remain limited, mainly due to the absence of tools that could translate sign language in real time. The present study aims to develop an ISL translation system powered by AI that can automatically convert sign gestures into readable text or spoken output. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 23–31 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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Enhancing Industrial Automation: An Adaptive ROS-Controlled Robotic Arm for Diverse Tasks
Abstract: In robotics and industrial automation, there is a growing need for robotic systems that can work on their own and do tasks quickly. This research is about creating an Intelligent Robotic Arm that uses the Robot Operating System and works with a UR3 platform and an OAK-D depth camera for better vision. The Robotic Arm uses the Robot Operating System as its software, which helps it talk to its parts, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 22–32 Read article
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Interview Analyser for Remote Interviews
Abstract: The project is ideally based on a web-based format and can also be converted into an application format where it is designed for recruitment purposes. It is developed by using theartificial intelligence which consists of TensorFlow libraries and deep learning modules. This project can ease the work of the human resource department by recruiting the right and suitable candidate required by the company. Interview analyser can handle 3 modules namely …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article