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478 articles for “interpretability”
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage-controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis gave …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 202–222 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Orthostride: An Internet of Medical Things-Enabled Smart Rehabilitation Footwear System for Real-Time Monitor
Abstract: The orthopedic rehabilitation goal of controlled weight bearing, a stable gait progression, and early recognition of hazardous situations for safe mobility is traditionally met through time, scheduled in-clinic observation and clinician induction, and patient report. In this work, Orthostride, a smart rehabilitation footwear prototype intended to augment postoperative and injury-related lower extremity restoration through continuous sensing, embedded decision logic, local feedback, and remote telemetry, is proposed. This system incorporates force …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Load Balancing Approach for Proposed Hybrid Scheduling Algorithm in Heterogeneous Networks
Abstract: AbstractRecent developments in multiple technologies evolving nowadays provide users with broadband services of high quality and seamless mobility. Wireless networks comprising of third generation (3G) and fourth generation (4G) are on the verge to provide wide coverage and good mobility capabilities. All these high quality wireless networks have been deployed within one region overlapping each other, hence generating a heterogeneous network for wireless access which can be represented as 4G …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 1–9 Read article
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Orthogonal Thirty-Two Phase Sequence Sets Design
Abstract: In using orthogonal signals, a multi-input, multi-output (MIMO) radar system and a spread spectrum communication system can improve operating efficiency. The usage of polyphase coded signals as pulse compression sequences sets is a superior alternative. The Modified Genetic Algorithm (MGA) is utilized as a global optimization strategy to create thirty-two phase sequence sets in this work. Design orthogonal thirty-two phase sequence sets with an impulse-like Autocorrelation Function (ACF) and a …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 33–39 Read article
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A Review study on Deep Drawing Analysis of Sheet Metal with Different Materials
Abstract: Deep drawing is one of the maximum vital processes for forming metal steel components.It is widely used for mass manufacturing of cup shapes in car, aerospace and packaging industries. In deep drawing metallic sheet is subjected to high punch stress which causes deformation of material, throughout deformation stresses are generated in numerous zones, which leads to numerous defects. The most important failure modes in sheet metallic elements are wrinkling and …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 2, 2018 · pp. 47–53 Read article
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Comparison of Provision for Escalation in Various Indian Construction Contract Forms
Abstract: Contracts provide technical assistance for implementation of works. Disputes occur between the parties involved in the contract due to number of factors. Interpretation of escalation clause is one of the reasons for disputes which necessitate proper drafting of contract terms and conditions and its extensive study. There are various construction contract formats prevalent in India which differs from one another in their provisions. Uncertainty in the cost of works executed …
Published in Journal of Construction Engineering, Technology & Management · Vol. 2, Issue 1-3, 2012 · pp. 17–29 Read article
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Delay Analysis for VLSI Interconnect’s Circuits
Abstract: This research work has been comprised of three parts. The first part deals with the implementation and estimation for the delay of an inverter and study of the influence of the delay variations with the increased size of the inverter. In this modern era of VLSI integrated circuits, interconnect’s delay majorly influences the device delay. The second phase of the work emphasizes on the realization of the interconnect delay and …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 3, 2015 · pp. 25–32 Read article
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Sustainable and Smart Solutions Utilizing Feature Descriptors Analysis
Abstract: Neighborhood highlight locators and descriptors (hereinafter extractors) play a key part within the cutting-edge computer vision for developing smart solutions. Their scope is to extricate, from any picture, a set of discriminative designs (hereinafter key points) show on a few parts of foundation and/or closer view components of the picture itself. A prerequisite of a wide run of down to earth applications (e.g., vehicle following, individual re-identification) is the plan …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 3, 2022 · pp. 35–40 Read article
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YOLOv8 in Focus: A Review of its Application in Driver Monitoring Systems
Abstract: This research presents a novel Driver Monitoring System (DMS) that utilises Convolutional Neural Networks (CNNs) to achieve remarkable results. Specifically, the YOLOv8 (You Only Look Once version 8) detection technique is used. The main goal is to increase road safety by using cutting-edge computer vision techniques to analyse driver behaviour in real-time. The YOLOv8 detection method, a cutting-edge CNN model renowned for its precision and effectiveness in object recognition, is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 35–40 Read article
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Regional Bioenergy Planning for Sustainability in Himachal Pradesh, India
Abstract: Energy systems in mountainous regions are complex due to the wide variations in the availability and demand of energy resources. Mountain inhabitants are traditionally dependent on bioenergy resources such as fuel wood, agro, and animal residues to meet their energy requirements for heating, cooking, etc. However, depleting forest resources limits the availability of fuel wood while commercial sources such as LPG and kerosene fail to meet the domestic energy demands …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 2, Issue 1-3, 2012 · pp. 37–73 Read article
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Static and Dynamic Analysis of Foundation considering SSI under different Soils and Vertical Load Conditions using FEM
Abstract: The behavior of foundations when rested upon various types of soil such as loose sand, medium dense sand, dense sand, silty sand and sand and gravel is studied in this project. The effect of soil-structure interaction is also considered during the modelling. The foundation was considered a square type isolated footing with varying vertical loads. Ground motion data for El Centro Earthquake was utilized for the dynamic analysis. Results for …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 2, 2018 · pp. 8–14 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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A MODEL DRIVEN APPROCH FOR REQUIREMENTS ENGINEERING OF INDUSTRIAL AUTOMATION SYSTEM
Abstract: A model-driven approach to developing multiple, consistent user interfaces for your application. An Abstract UI (AUI) model constrained to dialogue flow maintains the fundamental similarities of different user interfaces.. In particular, we will consider how to customize the User Interface at his AUI level by deriving and customizing dialog structures that take into account the limitations imposed by the front-end platform or novice user. The generated user interface is integrated …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 1–4 Read article
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Wireless Wrist Pulse Monitor Design
Abstract: Wrist pulse has been used for diagnosis of disease in Ayurveda and traditional Chinese medical system. But this diagnosis is subjective to the experience and sense of the medical practitioner as same pulse may be interpreted in different way by different person. In order to make this diagnosis objective rather than subjective, digitization of wrist pulse is needed. Many platforms have been developed for acquiring the wrist pulse; however, they …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 27–34 Read article
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Interference of Components in Metallic Diffusion
Abstract: Eight different pairs of metals which diffuse in each other in a solid state composition and make a homogenous or heterogeneous mixture are considered for deeper understanding of diffusion phenomenon, w.r.t. direction of diffusion, etc. Further the authors interpret which factors are responsible for the metal and/or more specifically which metal atom will be active in the diffusion process. The analysis evidenced number of breakage of bonds in the substrate …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 1, 2014 · pp. 23–30 Read article
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Study on Hot Working Characteristics and Deformation Response of as Cast AZ91 Mg Alloys
Abstract: The deformation response of magnesium alloy AZ91 was investigated by means of hot compression tests. The flow curves were obtained in the temperature and strain rate range of 300–500°C and 0.001–1 s-1, respectively. The processing maps of the studied material were obtained by interpreting them on the basis of the dynamic material model. The activation energy maps were developed based on Lyapounov’s function and the safe processing zones were confirmed …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 112–122 Read article
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Cathodoluminescence method to scheme optical remains
Abstract: Cathodoluminescence (CL) microscopy replaces light generation by a focused electron-beam so as to visualize optical information at resolution of electron microscope. High-resolution imaging has pursued on strongly cathodoluminescent substrates, such as glass. Method has been applicable for bio- and nano-sciences, said as CL identification of bio-markers within cells as well as ceramic character interpret to describe plasmon components from glass supported devices, given by, sensors, waveguides, plasmonic tweezers, and thin-film …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 7–14 Read article