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1105 articles for “ESP-NOW”
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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Modelling of The Viscoelastic Composite Curved Panel for The Time Domain Analysis Using TTBDF, β1 / β2−Bathe and Newmark Method
Abstract: Viscoelastic materials are extensively used in structures, especially thin-walled structures, for damping. The accurate modelling of the time domain dynamics of the viscoelastic material is essential for appropriately capturing the damping of the viscoelastic material. Various implicit and explicit time integration schemes are available to evaluate time domain response. However, the rightness of the implementation of the time integration scheme to the viscoelastic material model is very essential. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 204–222 Read article
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Polymer Chemistry Perspectives: Applying the Water Quality Index (WQI) for Groundwater Quality Assessment
Abstract: Through the utilization of polymers' special qualities, such as their capacity to concentrate analytes and their affinity for particular pollutants, we establish a strong framework for assessing groundwater quality. A more thorough understanding of groundwater contamination is made possible by the integration of polymer-based techniques with the WQI, empowering stakeholders to decide on remediation and water resource management strategies with knowledge. The quality of groundwater, especially shallow groundwater, is being …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 119–124 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Understanding the Corrosion Behaviour of Graphite in Peat Environment for Environmental and Sustainability Applications
Abstract: Graphite, which is one of the most remarkable carbon materials for industrial applications, is a heat exchanger component material in the phosphoric acid industry, bipolar layer or electrode material in vanadium redox flow batteries, electrode material for advanced oxidation processes, electrode material for lead-acid batteries, electrode material in fuel cells and microbial fuel cells, and more interesting, as moderator or core material in nuclear reactors used. Corrosion, one of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 728–737 Read article
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A Comparative Study on Formaldehyde Detection Capabilities in Pristine Graphene and Ag-doped Graphene Sheet
Abstract: The present work concerns a detailed investigation of the enhanced formaldehyde (also known as methanal) detection by decorating the pristine (or bare) graphene nanosheet with silver (Ag) nano-particle (or foreign Ag atom). The bare graphene sheet was exposed to the formaldehyde vapor forming the formaldehyde-adsorbed pristine graphene sheet (taken as Case-I), and whose results were studied and compared with the outcomes obtained from the formaldehyde-adsorbed Ag-decorated graphene sheet (taken as …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 801–809 Read article
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Ruesi Datton: Exploring the Ancient Wisdom and Modern Applications of Thai Yoga
Abstract: Ruesi Datton, often referred to as Thai Yoga, is a traditional Thai practice with deep cultural and therapeutic significance. Rooted in Thai Buddhist and monastic traditions, it combines stretching, self-massage, breath control, and meditation to promote holistic well-being. Unlike other forms of yoga, Ruesi Datton emphasizes self-care through its simple, accessible techniques, making it suitable for all ages and physical conditions. This review explores the philosophical foundations, practical techniques, and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 42–46 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Evaluating Water Savings in Vertical and Horizontal Hydroponic Systems Using Nutrient Film Technique
Abstract: A study conducted at SVCAET, IGKV, Raipur, focuses on water conservation in hydroponics using the nutrient film technique (NFT). The research evaluated both vertical and horizontal hydroponic systems. Initially, plants were grown in a nursery before being transplanted into either the vertical or horizontal system. In these systems, nutrient-rich water was continuously circulated over the plant roots. The study assessed water usage and the remaining water in the system on …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 1–8 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Quantification and Forecasting of Plastic waste in Gorakhpur city, India
Abstract: Plastic pollution is one of the biggest environmental threats faced by human society, especially in cities like Gorakhpur, which have minimal resources for waste management but a very high amount of waste that keeps on increasing day by day. The purpose of this research is to determine the total amount of plastic waste (PW) generated in Gorakhpur city and forecast plastic waste generation. The snowball sampling method was used for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 946–962 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
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Assessment of Physico-Chemical and Microbial Analyses of Hand Dug Wells in Makeni Town, Sierra Leone
Abstract: The various water samples were analysed for residual chlorine, ammonia, fluoride, nitrate, sulphite, lead, arsenic, chromium, and bicarbonate levels from January to August 2024. The bacteria contamination was investigated to determine the safety of the water for the consumption of human. The temperatures across the four wells ranged 27.3oC to 30.0oC, with and average values ranging from 27.94oC to 29.15oC. pH values were within the WHO recommended guidelines range of …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 01–13 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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In vitro and In vivo Trypanocidal Activity of Methanolic Extract of Lantana camara leaves on Trypanosoma brucei in Laboratory Mice
Abstract: In this study, the methanol extract of Lantana camara leaves were tested for their trypanocidal activity in vitro in a microtiter plate and in vivo using male laboratory mice. Five different concentrations 10mg/ml, 20 mg/ml, 30 mg/ml, 40mg/ml, and 50mg/ml of the extract were prepared and the time taken to immobilize the parasites were recorded. The in vitro results showed that the leave extract at concentrations of 50 mg/ml had …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 32–41 Read article
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A Comprehensive Review on Pharmacological Properties of Coumarins
Abstract: Coumarins are a diverse group of secondary metabolites found in a variety of plant species (over 1200 different coumarins have been identified from natural sources, especially plants), as well as in fungi and microorganisms. Coumarin is a simple, widely occurring chemical structure in nature, present in many plants, fungi, and bacteria. In recent years, these natural compounds have attracted growing interest from the scientific community due to their broad spectrum …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 12–17 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Epidermolysis Bullosa and Its Role in Cervical Cancer: An Overview
Abstract: Epidermolysis Bullosa is a group of uncommon genetic disorders that primarily affect the skin and mucous membranes. It is marked by severe skin fragility and the formation of blisters even after minor trauma. Traditionally, the focus of Epidermolysis Bullosa research has been on its dermatological manifestations, which include recurrent blistering, scarring, and the potential for infections due to the compromised skin barrier. However, recent advancements in Epidermolysis Bullosa research have …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 14–18 Read article