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1920 articles for “just in time” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Development of Neuromorphic Polymer Composites Using IoT Sensing and Brain-Inspired Learning Algorithms
Abstract: This research aims to develop neuromorphic polymer composites by combining conductive sensing materials, IoT-based sensing data collection and brain-inspired learning models for adaptive response. Hybrid conductive polymer composites were developed by adding carbon nanofibers and graphene Nano platelets to a thermoplastic polymer. IoT sensors (strain, temperature) were employed to collect real-time sensing data that was combined with environmental data. A material-aware neuromorphic learning algorithm was created with event-driven spike coding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 755–784 Read article
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Recent Development to Track Contraband using Muon
Abstract: The muon is one of nature’s fundamental particles discovered in 1937 by Carl Anderson. A muon is an elementary subatomic particle similar to electron, but with a mass approximately 207 times greater and, sometimes it is called as a “heavy electron”. Muons are generated naturally when cosmic rays collide with atoms in earth’s upper atmosphere and, then raining down all the times upon the surface of earth. Muons can be …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 23–34 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Climate Change Threat in Jaipur: Mitigating and Sustainable Attributes Through Carbon Footprint Reduction
Abstract: Challenges of climate change are significantly increasing on a forward time scale. Such a phenomenon is predominantly seen in urban sectors where population is rapidly increasing, thereby resulting in extensive resource consumption leading to release of significant carbon footprint. An attempt has been made in the present paper by the authors initially to assess the carbon footprint of Jaipur, Rajasthan on a backward and forward time scale partly to suggest …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 35–50 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 8–12 Read article
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Integrated Explainable Forecasting and Metaheuristic PI Optimization for LFC/AGC
Abstract: Since the last decade world has seen a paradigm shift towards alternate sources of energy, due to significant increase in population and ever-rising demand. However, the traditional systems were not designed to cope with these alternate sources and on the other hand these systems are posed with the challenges of efficiency and intermittency. So, it is inevitable that we need to design a system wherein forecasting data has to be …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 26–32 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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A Review on Automatic Railway Gate Control System
Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 1–7 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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An overview on the Medicinal Value of Leeches
Abstract: The present article highlights on the medicinal value of leeches. Leech belongs to phylum Annelida have played a significant role in ancient medicine for centuries, with their therapeutic and medicinal applications dating back to ancient human civilizations such as those of Egypt, Greece, and India. Historically, incidences shows it associated with blood letting, leeches were believed to restore balance to the body’s humors. In recent times, new experiments are being …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Wearable Computer Vision based Human Assistance System using Android 4.0.3 ICS Operating System
Abstract: This paper describes a well defined and improved system for the human assistance, based on wearable computer vision using Android ICS operating system. The information is traditionally confined to paper or digitally to a screen; in contrast the proposed system introduces an Android tablet based wearable gestural interface to attempt for bringing information out into the tangible world. The system provides an extension to existing gesture interface system by integrating …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 32–38 Read article
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Making of Vehicle Crash Alert system using wireless technologies such as GSM
Abstract: Most of the car accident cases are due to excessive speed. Many lives could have been saved if emergency services had been notified of the tragedy and arrived in time. In today's world, GPS has become an essential component of any automotive system. This lecture examines an GPS receiver's capacity to monitor a vehicle's speed, detect an accident based on the observed speed, and report the accident location to an …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 6–14 Read article
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Using of the sea grasses for the removal of some industrial organic dyes; bromo cresol purple from aqueous solutions
Abstract: Abstract: The objectives of this study are evaluating the efficiency of low cost adsorbents of activated carbon obtained from sea grasses. Using the sea grasses for the removal of some industrial organic dye; bromo cresol purple indicators from aqueous solutions and studying the impact of some of the factors including different dosages , pH, different concentrations, different temperature and effect of time of adsorbed materials. Adsorption efficiency of dye onto …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 3, 2019 · pp. 29–36 Read article
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Bio-removal of Cr (VI) from tannery wastewater using Saccharomyces cerevisiae
Abstract: Chrome tanning is the most and widely used types of tanning process and the wastewater generated by these industries is a major source of chromium pollution in the form of Cr (III) & Cr(VI) and become a cause for many human health problems. Several researchers have published papers to find the solution for removal of Cr (VI) but at its low concentration and this research work investigates at high concentration …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 1, 2020 · pp. 29–39 Read article
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Production of Particle Board from Cotton Stalk
Abstract: The cotton stalks are normally disposed of by burning, which contributes to the emission of harmful greenhouse gases which pollute the environment. This study used cotton stalk for the production of particle board. The study includes collection and preparation of cotton stalk, analyzing using the ASTM method and its morphological structure, determination of proximity and chemical compositions to compare with hardwood characteristics and production of cotton stalk particle board (CSPB) …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 3, 2020 · pp. 23–33 Read article
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Evaluating EC and TDS Concentration over Temperature Effect for Different Packed Bed Unit Treatment
Abstract: In this research, we evaluated the concentration of Electrical conductivity, Total Dissolved Solid and the effect of Temperature for the different packed bed units set up for treatment. The bio-adsorbents used were plantain stem fiber, banana stem fiber and palm fruit fiber and the investigation was aimed to examine the effect of EC, TDS and temperature on the performance of the bio-adsorbents in a packed bed unit The investigation was …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 3, 2023 · pp. 37–48 Read article