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1248 articles for “automation”
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Adoption of One-Touch Emergency Alert Apps: User Authentication, Simplicity, and Trust for Human Safety
Abstract: Quick reactions to disasters are extremely important to the safety and health of people. Nonetheless, another frequent problem with emergency cases is the time lag between reports of the incidents and the success and timely response of the concerned authorities. Mobile-based emergency alert systems have thus come in as a potential solution to this problem, given that they enable straightforward and direct communication between the citizens and the law enforcement …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 01–13 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article
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Disaster Management for the Production Process in Manufacturing Industries
Abstract: In manufacturing and businesses in general, damages occurring during production must be recorded. Production is carried out continuously every day through various processes that make up the supply chain. This process is often ineffective and causes damage. These disasters cause economic damage and losses, sometimes even death. These damages may result from accident, negligence or incompetence. There are other things around. This article focuses on damage elements associated with the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 16–19 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Performance Evaluation of Kevlar-Sisal-S-Glass Hybrid Composites with Ceramic Fillers for Structural Applications
Abstract: This study examines the mechanical properties of hybrid composite laminates reinforced with Kevlar, sisal, and S-glass fibers, and incorporating ceramic fillers—silicon carbide (SiC) and aluminum oxide (Al2O3)—within an epoxy matrix. The hand lay-up method was utilized to produce the laminates, ensuring a uniform fiber stacking sequence and including 10% filler material. Two composite variations were synthesized: one incorporating SiC and the other Al₂O₃, and both underwent tensile, flexural, hardness, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Effect of Silicon Carbide Filler on Mechanical and Damping Behavior of Basalt/Stainless Steel Hybrid Laminated Composites
Abstract: This study consolidates three experimental investigations on hybrid laminated composites reinforced with basalt fibre, stainless steel (SS) wire mesh, and silicon carbide (SiC) filler using vacuum infusion moulding. Three laminates were fabricated with filler variations of 0%, 1.5%, and 3% by weight of matrix material, maintaining a stacking sequence of [0B/0W/45B/0W/0B/45W]s with a thickness of 4–5 mm. The first investigation focused on impact strength. Drop-weight impact testing revealed a steady …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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AI-Enabled Voice-Interactive Smart Helmet For Two- Wheeler Road Safety
Abstract: The goal of this project is to improve rider safety through voice-controlled vehicle operations, automated emergency response, and real-time monitoring by designing and implementing a smart helmet system. The system continuously monitors motion and abrupt impact variations using an accelerometer (MPU6050) to identify accidents based on predetermined threshold values. When a fall or unusual impact is detected, a GSM module is triggered to send emergency alerts and location information to …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Adhesively Bonded Patch Repair in Polymer Composites: Effects of Reinforcement Configuration and Post-Cure Temperature
Abstract: Adhesive patch repair technique has been identified as an effective and economical approach to repair damaged polymer composite structures that are used in aerospace, automotive, marine, wind energy, and many other high-performance engineering applications. Adhesive bonding offers superior stress distribution, reduced stress concentration, less structural weight and fatigue resistance, and thus increases the lifetime of the repair of composite structures when compared to the traditional mechanical attachment approaches. Performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 991–1001 Read article
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Design and Implementation of a 4-Bit Breadboard CPU Using Digital Integrated Circuits
Abstract: This paper presents the design and hardware realization of a simple 4-bit CPU built using discrete TTL integrated circuits on a breadboard. The CPU employs a 4-bit common data bus with tri-state buffers for device arbitration, three 4-bit registers (Register A, Register B, and an Output Register) implemented with 74LS175 quad D flip-flops, and a 4-bit ALU for addition/subtraction using a 74LS83 adder and XOR gates. Manual control signals (load, …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Interfacial Bonding Efficiency in Jute-Carbon Fiber Polyester Matrix Composites Evaluated Through Short Beam Shear and Interlaminar Fracture Toughness Testing
Abstract: The natural Fiber–synthetic Fiber hybrid composites are jute–carbon Fiber hybrid in polyester matrix which could be used in semi-structural applications of automotive, construction and marine industry as an eco-friendly and cost-effective alternative of conventional carbon Fiber reinforced polymer. But the hydrophilic nature of jute Fibers and the relatively inert surface of carbon Fiber's cause weak bonding at the interface of the polyester matrix, which causes premature delamination, poor interlaminar shear …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Tensile and Flexural Strength Quantification of Basalt-Reinforced Epoxy Composites Fabricated via Vacuum-Assisted Resin Transfer Molding at Varied Fiber Volume Fractions Description
Abstract: Fiber-reinforced polymer composites have been identified to possess excellent properties that render them very suitable in the aerospace, automotive, marine and renewable energy sectors. However, for the industrially scalable vacuum-assisted resin transfer molding (VARTM) process, optimization of mechanical properties of basalt epoxy composites must be achieved systematically, which means that the effect of the fibre volume fraction(VF) on the mechanical properties of the composite needs to be quantified for different …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Intelligent Farming: Integrating AI and IoT for Sustainable Agriculture
Abstract: Artificial Intelligence (AI) and the Internet of Things (IoT) are transforming modern agriculture by enabling data-driven, resource-efficient, and climate-resilient farming practices. This review critically examines recent advances in AI-IoT integration across crop production, irrigation management, pest and disease surveillance, and supply chain optimization through an analysis of published literature and documented case studies. The review indicates that AI-assisted predictive analytics combined with IoT-based real-time sensing significantly improves decision-making in precision …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Keyless: LQ Based On IOT
Abstract: In recent years, there has been a growing interest in smart home technologies, with smart door locks being one of the focal points due to their potential to enhance security and convenience. Smart door lock systems are transforming access control by offering a keyless alternative for both residential and commercial settings. These electronic locks replace traditional keys with secure methods such as emergency alarms, privacy modes, battery backup, cameras, voice …
Published in Journal Of Network security Read article
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Characterization of Mechanical and Viscoelastic Properties of Ceramic Nanoparticle-Reinforced Polymer Composites
Abstract: This study examines the mechanical and viscoelastic properties of polymer composites reinforced with ceramic nanoparticles, specifically focusing on enhancing the performance of the material through the incorporation of alumina nanoparticles. The composites were produced by embedding alumina nanoparticles into an epoxy matrix, and their properties were assessed using tensile, flexural, and dynamic mechanical analyses (DMA). The tensile tests showed a remarkable 40% increase in tensile strength and a 35% enhancement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 71–82 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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Comprehensive Performance Assessment of Silane-Treated Bio-Extracted Husk Fiber Reinforced Composites for Sustainable Construction Applications
Abstract: This research project is an extensive experimental study on bio-extracted husk fiber polymer composites with a focus on silane surface treatment. Bio-extracted rice husk fibers underwent an alkali-enzymatic hybrid extraction process followed by a 3-aminopropyltriethoxysilane (APTES) treatment for improved interfacial adhesion and matrix compatibility. Resin composites with treated and untreated fibers were fabricated with a weight ratio of 10%, 20%, and 30% via hand lay-up methods. A battery of mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–241 Read article