Search
54 articles for “weight training”
-
Development of Aluminium Based Silicon Carbide Particulate Metal Matrix Composite for Cylinder Liner
Abstract: Cylinder liner is used in engine block to give a wear protective surface for piston and piston rings. Friction accounts for a loss of over 30% of the total vehicle power. Over half of that power loss can be attributed to the frictional loss between piston rings and cylinder bores. The best approach for improving power train efficiency is to reduce friction loss and the way for reducing the rolling …
Published in Journal of Materials & Metallurgical Engineering · Vol. 7, Issue 1, 2017 · pp. 17–29 Read article
-
Self-Supervised Learning for Early Disease Detection in Low-Label Medical Image Datasets
Abstract: Getting reliable labeled data for medical image analysis is genuinely difficult. Radiologists, pathologists, and other specialist clinicians are expensive, slow, and not universally available — particularly in low-resource clinical environments across developing nations. Unlike natural image benchmarks such as ImageNet, which provide millions of meticulously labeled training examples, most publicly accessible medical imaging repositories offer only a few hundred to a few thousand annotated scans. Supervised deep learning models trained …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 3, 2026 Read article
-
Using Artificial Neural Networking in Cryptography
Abstract: Cryptography system helps in transformation of information among authenticated users where there is no involvement of any third party using that information without that information with unauthorized access. This project implements encryption and decryption using neural network cryptography using AES key. The network construction will be generated solely on the parameters used in the training algorithm and the number of hidden neurons. In neural cryptography, both the communicating networks would …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 56–61 Read article
-
A Novel Strategy for Weight Initialization in Sigmoidal Feed-forward Artificial Neural Networks
Abstract: In this paper, a novel method of weight initialization is proposed. The proposed method of weight initialization distributes the initial weights and thresholds in such a manner that they lie in different regions of the activation function used at the hidden layer. The proposed method is compared with six other popular weight initialization methods on ten function approximation problems using the RPROP (Resilient Back-propagation) and Levenberg-Marquardt algorithms for training. Two …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 62–75 Read article
-
Analyzing the Influence of Soil-Structure Interaction on High-Speed Rail Embankments: A Plaxis 3D Simulation Study
Abstract: The introduction of high-speed rail (HSR) in India has seen an increase in travel demand and areduction in travel time. However, the stability and deformation characteristics of railwayembankments and soil structure interaction behavior under high-speed design requirements forIndian soil conditions need to be predicted using simplified 3-D finite element modelling. Theobjective of this research is to analyze the rigid ballast-less and flexible ballast-based high-speed railtrack embankments for various critical conditions …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 18–45 Read article
-
Design and Optimization of Locomotive Suspension System Using Ant Colony Optimization
Abstract: The objective of design and optimization of helical spring is weight reduction with adequate strength and stiffness. Weight reduction of helical spring will contribute to the reduction of unsparing mass. This will help in improving the vibration characteristics and hence, the riding qualities of a train. Optimization is the act of obtaining the best result under given circumstances. Conventional design aims at finding an acceptable design which merely satisfies the …
Published in Trends in Machine design · Vol. 3, Issue 2, 2016 · pp. 44–49 Read article
-
Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
-
Design and Analysis of Shear Fitting Used in Fin and Fuselage Attachment of a Basic Trainer Aircraft
Abstract: Design of an airplane is complex as it has six degrees of freedom once it is set to fly; hencedealing with forces during flight becomes crucial. The structure of the plane should alsowithstand great ‘g’ force during the flight of the aircraft. The wing generates lift as the planemoves in the air, which counteracts the weight of the plane. The empennage structure willprovide stability to the aircraft. Hence, the attachments …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 36–40 Read article
-
Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
-
CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
-
SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
-
Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques
Abstract: Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 33–45 Read article
-
A Report on Numerical Investigation of Wings: with and without Telescopic Wing
Abstract: The telescopic wing has generated lots of interest in telescopic wing weight, geometry, complexity, structure, retractable/extendable mechanisms and aerodynamic performance etc. The problem is to develop telescopic wing for Piper PA-28 Cherokee is a one of the light aircraft built by Piper aircraft and designed for flight training, air taxi, and personal use. The key design parameters for the telescopic wing aircraft as mentioned are lift force generated (lift coefficient) …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 16–23 Read article
-
An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
-
Context Inference: Light-Weight Online Unsupervised Posture Detection by Smartphone Accelerometer
Abstract: This paper proposes a mild-weight online classification method to locate the user-centric postural movements, inclusive of sitting, standing, walking, and jogging, through smartphones. These moves are named user states considering that they're inferred after the evaluation of records acquired thru the accelerometer sensor built-in smartphones. To distinguish one-person country from some other, much research may be observed in the literature. But, this has a look at differs from others via …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 12–20 Read article
-
Effect of Yoga on Police Personal’s Lung Capacity and Physiological Parameters when Added to their Fitness Training
Abstract: Aim: Occupational hazard of the stress of police duty requires regular rejuvenation of the physical and physiological capacity of the body for handling daily challenges. Hence this pre- and post- intervention effect evaluation was conducted among a cohort of Delhi police personnel to estimate physical and physiological changes with added Yoga during the ongoing fitness schedule for on-duty police personnel. Methods and Material: police personnel n-53, gender male, aged 40-45 …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 1, 2023 · pp. 33–41 Read article
-
U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
-
EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
-
ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
-
Deep Learning for Grape Cluster Segmentation
Abstract: Grape cluster identification and its segmentation for the purpose of vineyard total weight prediction tasks indicate the need for more accurate segmentation atomization. The Grape Cluster Segmentation challenge is supplied as an answer the usage of deep neural community fashions including YOLO v3, Mask RCNN, and U-net. In the sense of a modified U-net model for segmenting grapes using training and testing strategies, this contribution contributes to the validation of …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 23–32 Read article