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518 articles for “AI reliability”
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Energy Data Collection in Nigeria: Sources, Resources, Challenges and Recommendations
Abstract: AbstractThe process of having adequate, affordable, accessible and clean energy starts with the conception and design of an energy plan. The implementation of such plan needs reliable and up-to-date data. This paper proved that in Nigeria, collecting energy data had always been a challenging and this could be traceable to such problems as lack of expertise on energy data collection, the absence of legal instruments to aid data collection, the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 3, 2017 · pp. 18–28 Read article
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A Secure System of Health Care Service
Abstract: A Secure System of Health Care Service is a platform that stores patient information in an orderly way to aid in proper patient diagnosis and treatment. The current manual system has various issues, including: Delayed patient record retrieval, The duplicated records of patients, A lack of safety and Ineffective backup procedures for medical records. Although the Internet has long served as a reliable source of medical information, only recently has …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 43–49 Read article
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Physicochemical Parameters for Water-Environment Quality Testing: A Review
Abstract: The increasing threat posed by contaminants in air, water, and soil is a pressing issue globally, exacerbated by population growth, industrialization, and agricultural practices. These factors contribute to significant water pollution, introducing harmful substances that compromise human health. Natural processes, such as weathering and soil leaching, alongside mining activities, further degrade water quality. Regular monitoring of drinking water is essential, as contaminated sources can lead to a variety of waterborne …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 08–12 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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Biometric Access and Security Integration
Abstract: Biometric access and security integration involves the use of biometric technology, such as fingerprint recognition, facial recognition, iris recognition, or voice recognition, to authenticate and grant access to secure areas, devices, or systems. Integration of biometric technology into security systems enhances the accuracy and reliability of access control compared to traditional methods like passwords or access cards, as biometric traits are unique to individuals and difficult to forge. This paper …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 30–43 Read article
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Research Paper on Design Analysis of Bucket of JCB 3dx Model
Abstract: JCB machines principal functions are Digging (material removing), Ground leveling and material transport operations. Backhoe attachment is rear part of Excavator machine. The backhoe attachment is subjected to static as well as dynamic forces. Because of several working conditions, Excavator parts, like bucket, arm, and boom are subjected to high loads .Thus, it is necessary to provide a better design of parts having maximum reliability, keeping design safe under loading …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 37–41 Read article
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Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future
Abstract: As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes. We begin by examining current …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 17–31 Read article
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The Role of AI in Modern Healthcare Systems
Abstract: In the Indian pandemic, several issues in the healthcare system have brought to the forefront the imperative of hospitals shifting from manual medical records to computerized healthcare information systems. These solutions offer an effective method for integrating computer-based decision support tools and communicating e-healthcare information. With increasing dependence on AI-based solutions, a strong IT infrastructure is essential for improving healthcare quality, data security, and controlling increasing medical expenses. Advances in …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 69–76 Read article
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Low-Weight, High-Durability Crankshaft Development Using Glass Fiber Composites: Numerical and Experimental Investigations
Abstract: The present paper aims towards the weight reduction of crankshaft by replacing conventional medium carbon steel for a two-wheeler with composite material. The replacement is such that it significantly reduces load on other components without compromising structural integrity. It will also serves in terms of operating reliability or durability over its life span. A geometric specifications and dimensions were obtained using a 3D CAD model developed in CATIA V5. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 310–325 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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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 9–21 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design and Reliability Analysis of Polymer Pervious Concrete Mix for Preparation of Paver Block
Abstract: Porous concrete is a specially designed kind of concrete featuring high water porosity, allowing water to readily move through the already present interconnecting vast porous structures. The present experimental study emphasized on the production of permeable concrete with a lower Portland cement and recycled aggregate aggregates building environmentally friendly permeable pavements. The literature review suggested in most of the studies the use of single size of aggregate in the pervious …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 8–23 Read article
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Advanced Digital Twin and AI Integration for Real-Time Optimization in Polymer Production
Abstract: The integration of Internet of Things (IoT) with Artificial Intelligence (AI) technologies opens up considerable avenues for reshaping polymer manufacturing by improving operational effectiveness, securing exceptional product standards, and advancing sustainability in the environment. This academic manuscript delineates an advanced framework that integrates IoT and AI with synergistic technologies, including blockchain, edge computing, and digital twin methodologies, to revolutionize polymer manufacturing processes. The proposed architecture utilizes IoT sensors for the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 81–89 Read article
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Vitamin D in Americantitis population
Abstract: Neurasthenia is also known as Americantitis or nervosism where there is mechanical weakness of the nerves, characterised with symptoms like fatigue, anxiety, headache, heart palpitations, high blood pressure and depressed mood. Vitamin D is increasingly recognized as a critical nutrient with significant roles in various physiological systems, including the nervous, immune, and muscular systems. Emerging research highlights its direct impact on brain health, underscoring the importance of adequate Vitamin D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 7–10 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Design and Performance Analysis of Microwave Filters and Resonators for High-Frequency Systems
Abstract: Microwave filters and resonators are fundamental components in high-frequency systems, playing a crucial role in signal selection, interference suppression, and frequency stabilization. This review presents a detailed analysis of design methodologies and performance characteristics of microwave filters and resonators used in modern communication and radar applications. Various filter topologies, including low-pass, high- pass, band-pass, and band-stop configurations, are examined with respect to their frequency response, insertion loss, selectivity, and bandwidth. …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 8–16 Read article
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Study and Analysis of 5G Research Activities
Abstract: This paper summarizes the key initiatives in favor of 5G wireless communication networks. Recent program and project activities and documents are highlighted. A closer examination of a series of 5G-related projects in the European Union is carried out. The literature review is limited to recent issues of IEEE Communications 5G Journal and related white papers from various sources. The aim is to shed light on what 5G is: what are …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 18–27 Read article