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182 articles for “benchmark”
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Women Hygiene for Environmental Sanitation
Abstract: The present study is focused on the status of women hygiene in India in relation to environmental management. Menstrual hygiene is considered as a human right, and it has become a public health issue too. Because poor menstrual hygiene is responsible for infections, reproductive health, and other problems. The management of menstrual hygiene is much needed to accomplish the targets of sustainable development goals such as SDG 3, 4, 5, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 31–37 Read article
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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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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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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Development and Performance Evaluation of a Multi-Purpose Power Tiller for Small-Scale Farming Applications
Abstract: This project outlines the development and testing of a multi-purpose power tiller tailored for small-scale farmers. Designed to reduce labor and enhance productivity, the machine integrates features for ploughing, seedbed preparation, and lightweight transportation. Key parameters including depth of tillage, working width, and fuel consumption were evaluated during field trials and benchmarked against manual operations. Results highlight its efficiency and potential for improving rural agricultural practices. Along with its primary …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Constrained Online Non Negative Matrix Factorization (CONMF) for Visual Tracking
Abstract: Visual tracking is the process of locating a moving object (or multiple objects) over time using a camera. It is one of the most important components in numerous applications such as military, secure control, crime prevention systems, access control and biometric identification etc. of computer vision. In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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Palm Print Recognition Based on PCA and Its Variants
Abstract: In present era, automatic personal recognition is a serious problem that needs to be overcome properly. Palm print recognition is one of the most reliable and successful biometric solutions due to its numerous advantages such as stable line features, low resolution imaging, low cost capturing device, being non-intrusive and user friendly. In this article, performance comparisons of palm print recognition techniques based on subspace approaches (PCA, 2DPCA, 2D²PCA) have been …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 7–14 Read article
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Design, Simulation and Economic Analysis of on Grid Solar PV System for Educational Institute in North India
Abstract: AbstractThis paper is about the designing, simulation and economical of an on grid 15 kWp solar photovoltaic (PV) power plant at the boys hostel of Institute of Hotel Management (IHM) in Gwalior (India). It highlights the requirement of electricity at IHM Gwalior. The analysis of electricity bill for the institute is done first. Then 10% of contracted electricity demand (150kVA from Madhya Pradesh Electricity Board MPEB) power plant is designed …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 2, 2017 · pp. 64–74 Read article
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Design, Simulation, Installation and Economic Analysis of 50kW Grid Connected Solar PV System
Abstract: AbstractThis study aimed to develope a standard procedure for the design of Gridconnected solar PV systems using the roofs of buildings. The standard procedure developed was validated in the design of a 50 kW Grid-connected solar PV system for Vijayaraje Institute of Science and Management (VISM), Gwalior, Madhya Pradesh, India. The project began with a pre-feasibility study of a 50kW Grid-conducted solar PV system using meteonorm software developed by meteotest. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 2, 2018 · pp. 1–14 Read article
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Adoption of Building Information Modeling (BIM) in the Philippines’ AEC Industry: Prospects, Issues, and Challenges
Abstract: Building Information Modeling (BIM) is a modern approach and process used in the architecture, engineering, and construction (AE&C) industry that enhances planning, design, and construction of facilities. In fact, BIM is considered one of the most promising advancements in the AE&C industry. Its usage in other countries has become prevalent and the benefits are remarkable in terms of reduction of time, cost, and material wastage. The Philippines, on the other …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 2, 2019 · pp. 8–20 Read article
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Diagnosis and Repair of Deteriorated Concrete Structures
Abstract: In India, we come across many old buildings needing major repairs or go early in to a state of dilapidation condition to make them unfit for occupation.The premature deterioration of structure is an economic burden not only on owners but also to the municipalities’ and nation as a whole. The longer life of structures enables better utilization of natural resources. Reduction in waste due to demolition enhances energy conservation. Such …
Published in Journal of Construction Engineering, Technology & Management · Vol. 3, Issue 1, 2013 · pp. 7–12 Read article
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Study and Design of PID Controller and State Observer Technique for Inverted Pendulum
Abstract: The inverted pendulum is a classic problem in dynamics and control theory and is widely used as a benchmark for testing control algorithms, it is unstable without control. The process is nonlinear and unstable with one input signal and several output signals. It is hence obvious that feedback of the state of the pendulum is needed to stabilize the pendulum. The aim of the study is to stabilize the pendulum …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 2, 2015 · pp. 13–18 Read article
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Impact of Xilinx ISE Design Suite’s MAP and Generate Programming Optimization Settings on FPGAs Bitstream Size
Abstract: AbstractIn SRAM based FPGA configuration bitstream resides in configuration memory. Bitstream contains information of CLBs, IOBs and logic interconnects. With increase in complexity of design, size of bitstream increases. Hence if size of bitstream is reduced, less configuration memory required. CAD tools used in FPGA based design has different settings which affects logic capacity, performance speed, resource utilization, power consumption, area required for placing designs etc. In this paper, we …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 1, 2018 · pp. 1–8 Read article
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Energy Labels in India: Do we Use it?
Abstract: Energy efficiency and conservation practices intensified with time but also raised the questions about uncertainties about its use on the demand side for ensuring energy security. To cater to climate change and increasing air pollution, the pace for moving towards energy efficiency should increase. Energy efficiency is seen as a “low cost-no regret” and thus can be opted in the Indian household sector. Standard and labeling (S&L) programs provide a …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 2, 2023 · pp. 48–67 Read article
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Performance and Improvement of Antenna Designs in Modern Wireless Communication System
Abstract: AbstractIn this paper, the cell innovation and the remote correspondence innovation is creating and enhancing quickly. The reception apparatus goes about as the scaffold between the client terminal and the base station controller. Being a key segment of the remote correspondence framework, the reception apparatus' fundamental capacity is to communicate and to get electromagnetic waves. It will, to an expansive degree, influence the quality and the speed of the correspondence. …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 3, 2017 · pp. 5–10 Read article
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Characterizing Electromagnetic Behavior of X-Band Rectangular Waveguide with Convex and Concave Shaped Ridges Using Hp-Finite Element Method
Abstract: In this research study, we explore the behavior of electromagnetic waves as they propagate through ridge waveguides with convex and concave shapes, having both single and double walls. To analyze the waveguide's characteristics, we employ the highly accurate hp-finite element method (hp-FEM). The focus is on investigating the impact of these ridge deformations on cutoff frequencies and bandpass for TE10 and TE20 modes. To benchmark our findings, we compare the …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 1, 2023 · pp. 27–34 Read article