Search
426 articles for “RAM”
-
Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
-
Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
-
Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
-
AI-Assisted Defect Detection in Polymer Composite Insulators Using an Optimised Ensemble Deep Learning Framework for Structural Health Monitoring
Abstract: Polymer composite insulators, particularly those made from silicone rubber and epoxy resins, are increasingly adopted in high-voltage transmission systems due to their superior electrical insulation, lightweight design, hydrophobicity, and environmental durability. Despite their advantages, these materials are susceptible to surface degradation, mechanical cracking, and flashover under prolonged exposure to environmental pollutants, thermal stress, and electrical aging. Accurate, real-time condition assessment of these composite insulators is critical for ensuring operational safety, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 253–261 Read article
-
Quasi-Sobol-Based Optimization and Sigmoid Fuzzy Logic for Efficient Task Clustering in Decentralized Edge-Cloud Architectures
Abstract: Decentralized edge-cloud systems face a lot of issues in efficient task clustering, resource allocation, and real-time decision-making. Conventional methods mostly fail to work well under dynamic workloads and uncertain conditions. This study intends to optimize task clustering through quasi-Sobol-based optimization and Sigmoid Fuzzy Logic for resource allocation, enhancing decision-making accuracy and achieving efficiency in the system at the edge-cloud environment. A hybrid technique that has incorporated optimization via Quasi-Sobol sequences …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 9–18 Read article
-
AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
-
Integration of Biomarkers in III and IV CKD Patients for Evaluation of Their Predictive Value for CVD in CKD Patients
Abstract: Background: Chronic kidney disease (CKD) is presently characterized by the presence of proteinuria and/or a diagnosis of renal impairment. The worldwide significance of CKD is underscored by the fact that its prevalence and incidence have doubled over the past three decades. This paper provides an overview of the existing evidence regarding biomarkers in individuals with CVD or CKD, with a particular focus on the emerging biomarkers (i.e., eGFR, sALB, UACR, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
-
Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
-
Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
-
Heat Transfer Analysis Between Two Aluminium Parallel Plates With Natural Convection
Abstract: As a type of energy, heat can be transferred from heated systems using the natural convection heat transfer method, which has several uses in different industries. Natural convection method of heat conveyance is suitable in many cases due to absent of any external sources like fan. The transfer of this kind of energy can be listed as electrical and electronics equipment, nuclear reactors, domestic convection, dry cooling towers, thermo siphons, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 26–34 Read article
-
Influence of EDM Process Parameters on MRR and TWR on Mild Steel and Cast Iron using Taguchi’s Method
Abstract: An alternative to conventional machining methods, Electrical Discharge Machining (EDM) uses electrical current for generating controlled sparks that erode surface of the material through thermal energy. Unlike traditional cutting processes, hard and electrically conductive materials with high precision can be machines very easily, which make it suitable for applications in tool and die manufacturing, aerospace, and automotive industries. Tool Wear Rate (TWR) and Material Removal Rate (MRR) for mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 614–627 Read article
-
Analyzing Barriers to Digital Procurement in Polymer Composites Supply Chain Using ISM for Sustainable Transformation
Abstract: The adoption of e-procurement in the polymer and composites industry presents a transformative opportunity to enhance supply chain efficiency, reduce material waste, and support sustainable engineering practices. However, industries face significant barriers in transitioning from traditional procurement to digital systems, particularly in sourcing specialized materials such as epoxy resins, bio-based polymers, and hybrid composites. This study employs Interpretive Structural Modeling (ISM) to identify, analyze, and prioritize eleven critical barriers affecting …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 512–521 Read article
-
Design and Development of Mini-Groundnut Oil Extraction Machine for Domestic Purpose
Abstract: A machine is designed to extract various types of oil from groundnuts. The primary purpose of this machine is to facilitate the extraction of oil using a mechanical extraction method, specifically employing a screw press mechanism to crush the seeds and extract the oil. The design prioritizes portability, ease of use, and high extraction efficiency. It comprises several components, including the frame, hopper, gear reduction unit, pulleys, bearings, and power …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 31–38 Read article
-
Comparision Of Success Rate Of Ultrasound-Guided Versus Landmark Technique For Caudal Block In Children
Abstract: Background: Caudal block is one of the most widely used epidural techniques in children, and this study compares its success when performed using ultrasound guidance versus the traditional landmark method. Methods: Forty-six children aged seven years or younger, classified as ASA I–II and undergoing surgery under general anesthesia with caudal analgesia, were enrolled and randomly assigned to either the landmark group (Group C, n = 23) or the ultrasound group …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
-
Innovation Ecosystem: Understanding Sustainable Development Through Technology
Abstract: Over the past 15 years, the notion of “Innovation Ecosystem” has captured the attention of scholars and practitioners alike. The increasing interest underscores the growing acknowledgement of the pivotal role played by Innovation Ecosystems in driving societal and economic advancement. This research work aims to explore innovation ecosystems, focusing on how they work, the challenges they face and their potential for driving sustainable progress. Overall, the goal is to improve …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 21–26 Read article
-
Performance Analysis of GLARE Composites in Aerospace Engineering
Abstract: The fuel consumption of an aircraft is largely governed by its payload, which emphasizes the continuous demand for advanced lightweight structural materials to enhance the lift-to-weight ratio and improve overall fuel efficiency. Fiber Metal Laminates (FMLs) have emerged as a novel class of hybrid materials that combine alternating layers of thin metals with fiber-reinforced polymer composites, thereby offering mechanical properties superior to those of the individual constituents. Among the different …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 771–779 Read article
-
Biodegradable and Natural Fiber-Reinforced Polymer Composites for Advanced Controlled Drug Delivery Systems
Abstract: Polymer-gel forms have gained popularity in medicine as means of medication delivery over the skin. This is so since they enable medications pass the skin more readily. These products allow medicine to be administered without surgery and provide continuous active ingredient supply. They are excellent for long-term therapy for managing conditions that keep resurfacing. From tiny synthetic ones to huge biological ones, polymer gels can store a wide spectrum of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 271–284 Read article
-
Adsorptive Removal of Rhodamine-B Using Eco- Synthesized Green Tea–Aluminium Nanoparticles
Abstract: This study examines the use of Green Tea–Aluminium Nanoparticles (GT-Al NPs), a unique and eco-friendly adsorbent, to remove the dangerous Rhodamine-B dye from water. For characterisation, SEM, FTIR, TGA, and EDX were employed. We evaluated the effects of pH, temperature, dosage, contact time, and initial dye concentration on adsorption efficiency. First- and second-order pseudo models were used to characterize adsorption kinetics, and the Langmuir model explained equilibrium, as well as …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 61–72 Read article
-
Red Mud Particles' Impact on the Mechanical Properties and Microstructure of AA6005 Composites for Brake Rotor Applications
Abstract: There is increasing focus on utilizing industrial waste as reinforcement in metal matrix composites, driven by the demand for eco-friendly and cost-effective materials in automotive applications. With an emphasis on their possible use in braking rotors, this study examines how red mud particles affect the microstructure and mechanical characteristics of AA6005 aluminum alloy composites. Red mud, a byproduct of the Bayer process, is a good low-cost ceramic reinforcement because it …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 573–581 Read article
-
An Integrative Review of Male Sexual Disorders and the Therapeutic Role of Unani Aphrodisiacs
Abstract: Sexual health is a vital component of overall well-being, encompassing physical, emotional, and psychosocial dimensions. Male sexual dysfunction – including conditions, like erectile dysfunction, premature ejaculation, and low libido – can significantly impact quality of life and intimate relationships. Aphrodisiacs, derived from the Greek goddess Aphrodite, are substances that stimulate sexual desire and performance. Historically, natural aphrodisiacs have been used in various cultures and include plant-based substances such as Yohimbine, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article