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253 articles for “data layer”
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles
Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article
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A Classical Drug Review, Pharmacognostical and Physicochemical Analysis on Madhupipplyadi Yoga
Abstract: The drugs of Madhupipplyadi Yoga are Tridosha Shamaka properties with Vranashodhana, Vranaropana, as well as anti-inflammatory, antioxidant, cleaning and wound healing properties. The goal of the current study was to examine the pharmacognostical, physiochemical, and detailed drug review of Madhupipplyadi Yoga as well as to verify the authenticity of the drugs used in the preparation. All Ayurvedic texts, data from web-based search engines, and journal articles were used in the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2023 · pp. 14–22 Read article
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AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement
Abstract: AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement: A Comprehensive Electronic Health Record and Hospital Management System Healthcare institutions increasingly require digital solutions to manage the growing complexity of patient data, staff coordination, and multi-branch operations. This paper presents an AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement, a full-stack Hospital Management System (HMS) designed to streamline clinical and administrative workflows within modern healthcare …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 28–34 Read article
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Performance Evaluation of Lohmann Commercial Layer Breed in Peri-urban and Urban Areas of Cheha Woreda of SNNPR of Ethiopia
Abstract: Performance evaluation of Lohmann commercial layer breed was conducted in peri-urban and urban areas of Cheha woreda. The objectives of the present study was to evaluate the performance of Lohmann layer breeds in urban and peri-urban areas of Cheha woreda and to determine the economic feasibility under farmers management condition to promote and disseminate the approved technology packages to the users. Participant farmers were selected purposively on the basis of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 10, Issue 2, 2021 · pp. 25–32 Read article
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Security Threats and Attacks in Wireless Sensor Network
Abstract: Sensor networks enable application that connects the physical world to the virtual world.A wireless sensor network (WSN) consists of distributed autonomous sensors to closelymonitor physical or environmental conditions. Wireless platforms are less expensive andare more powerful, the applications supported by WSNs [1] vary from monitoring,tracking to controlling. In the era of interconnected world, security of both external andinternal data exchange over network nodes is a primary concern. This paper studies …
Published in Journal Of Network security · Vol. 1, Issue 2-3, 2013 · pp. 12–17 Read article
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Report on the Effects of Mole Fraction, Doping Concentration, Gate Length and Nano-Layer Thickness to Control the Device Engineering in the Nanoelectronic AlGaN/GaN HEMTs at 300 K to Enhance the Reputation of the NIT Arunachal Pradesh
Abstract: In this work, we report total 20748 individual simulation-outputs according to the performed simulation-studies on the Nanoelectronic AlGaN/GaN high electron mobility transistors (HEMTs). This series of simulation work has been performed using the SILVACO-ATLAS software tool. In this work, the drain characteristics is investigated with respect to the Aluminium mole fraction, doping concentration, drain voltage, gate voltage, gate length and thickness of the AlGaN nano-layer. The investigation on the effect …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 19, Issue 1, 2017 · pp. 15–47 Read article
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VALIDATION OF WATERSHED MANAGEMENT PLAN AT TARADGAON REGION USING GEOPHYSICAL & GIS TECHNIQUES
Abstract: Water is an essential requirement for the survival of the living organisms on earth planet. Though it seems to be available in sufficient amount, unfortunately its distribution in space and time is highly scattered. Therefore, water resources management practices should be identified using the spatial data set collected through remote sensing and other tools for its optimistic usage and exploration. This study investigates the utilization of Geophysical and GIS Techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Comparative Evaluation of the Effect of Adhesive Restorative Techniques on the Reinforcement of Simulated Immature Permanent Teeth: An in Vitro Study
Abstract: The aim of the study was to compare the reinforcement effect of 3 different adhesive restorative techniques on simulated immature maxillary central incisors after apexification. A total of 30 simulated immature permanent maxillary central incisors were randomly assigned into 3 groups (n=10), according to the reinforcing technique used: Group 1: Nanohybrid composite. (Tetric N-Ceram Ivoclar Vivadent), Group 2: Short-fiber reinforced composite (everX posterior GC EUROPE) extended 3mm below CEJ, covered …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 69–75 Read article
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Implementation of E-mail Security with Three Layers of Authentication
Abstract: E-mails are essentially based on point-to-point communication. E-mails are the most commonly used form of communication in today's business. These are now the most convenient modes of communication for most people. We will also look into adding confidentiality and integrity protection to standard email. In your daily life, how much reliance do you place on the accuracy of its contents? Consider receiving an e-mail from your mentor stating that you …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 29–35 Read article
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Leveraging Standards and Deep Learning Approaches to Secure Internet of Things (IoT) Devices from Cyber Attack
Abstract: The widespread adoption of Internet of Things (IoT) devices between 2019 and 2024 has significantly grows in various sectors in Japan, including healthcare, manufacturing, and the development of smart cities. Although this growth offers many advantages, it also makes these devices more vulnerable to cyber threats. High-profile security breaches in Japan have sparked discussions about the requirement for enhanced security measures to protect the rapidly evolving IoT technologies. This study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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EXPERIMENTAL INVESTIGATION OF WELDING PROCESS PARAMETERS ON MECHANICAL PROPERTIES FOR TIG WELDED AUSTENITIC STAINLESS STELL 304 JOINTS
Abstract: Minimally invasive surgeries are the most elusive, yet highly demanded subset of surgeries which requires precise knowledge of the pertinent patient. Compared to conventional surgeries, minimally invasive surgeries are characterized by less pain, low risk of infection, lesser scarring, etc. In the status quo, doctors use intuition through experience to determine the parameters for surgery such as the force required to cut, size of cut, depth of cut, etc. With …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 6–9 Read article
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Comparison of Stiffness of Skin - Simulations vs Experimental
Abstract: Minimally invasive surgeries are the most elusive, yet highly demanded subset of surgeries which requires precise knowledge of the pertinent patient. Compared to conventional surgeries, minimally invasive surgeries are characterized by less pain, low risk of infection, lesser scarring, etc. In the status quo, doctors use intuition through experience to determine the parameters for surgery such as the force required to cut, size of cut, depth of cut, etc. With …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 1–7 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Security Challenges and Solutions in Wireless Sensor Networks: a Case study of Afghanistan
Abstract: Due to their capability to collect and relay data from locations without supervision, Wireless Sensor Networks (WSNs) have become essential for numerous contemporary applications (such as environmental monitoring, smart cities, and healthcare). However, the open and resource-constrained nature of WSNs makes them particularly vulnerable to security threats. This paper reviews the key security Issue faced by WSNs and the solutions proposed in recent literature. We examine the unique constraints of …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 27–35 Read article
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Power and Congestion Control Analysis for MANET in NS3
Abstract: AbstractRouting to MANET is difficult due to the navigation feature. The main causes of connection failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport area. The interference is due to a collision and a hidden node. A hidden node means two nodes outside the radio frequency range of each one while trying to transmit data to an intermediate node located in …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 31–43 Read article
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A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
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A Survey on Image Forgery Detection Techniques Using Machine Learning Approaches
Abstract: With the advent of newer technologies and usage of data in various service fields like education, commercial and healthcare, etc. The possibility of tampering and altering the data in the form of media like images is easily seen to derive various illegitimate benefits and outcomes. The rapid advancements in technology and the increased utilization of data in various service sectors such as education, commerce, healthcare, etc., have raised concerns about …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 17–26 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Real-Time Patient Location Tracking and Monitoring Geofencing System
Abstract: This study presents a method for tracking patients from COVID centers using geofencing. This article primarily focuses on developing Android applications that can inform people about COVID-19 containment zones and prevent people from entering these zones. Lockdown and quarantine centers have been set up in India and many other countries to reduce the spread. Using a geofencing framework to monitor someone’s Movement during the quarantine period. Geofencing methodologies provide analysis …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 25–29 Read article