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Angle Histogram of Hough Transform as Shape Signature for Visual Object Classification (AHOC).
Published 2020“…This work presents a new method for object classification using Hough transform (HT) and angle histogram as an object signature. …”
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122
Angle Histogram of Hough Transform as Shape Signature for Visual Object Classification – (AHOC).
Published 2020“…This work presents a new method for object classification using Hough transform (HT) and angle histogram as an object signature. …”
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123
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. …”
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126
Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
Published 2020“…Through an extensive experimentation setup, we show that AL is equally useful in federated and centralized learning by achieving comparable results with manually labeled data using fewer samples without involving human annotators in collecting training data. …”
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127
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
Published 2024“…In this study, we present RWC-Net (recyclable waste classification network), a novel deep learning model designed for the classification of six distinct waste categories using the TrashNet dataset of 2,527 images of waste. …”
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Plant Species Classification and Diversity of the Understory Vegetation in Oak Forests of Swat, Pakistan
Published 2021“…<p dir="ltr">The forest ecosystem has understory vegetation that plays a vital role in sustaining diversity, providing nutrients, and forming a useful association for developing a balanced ecosystem. …”
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130
Drone-Aided Plants Health Monitoring Using Enhanced Vision Transformer
Published 2025“…In this study, we propose a enhanced lightweight ViT architecture (EViT) for edge devices used in plants disease classification. The core of our approach is a domain-optimized convolutional stem (ConvStem) architecture that replaces the standard patch embedding with a convolutional stem to enhance local feature extraction, particularly effective in data-scarce scenarios. …”
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131
Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
Published 2022“…In detail, we collected and annotated a large-scale data set of user reviews on COVID-19 contact tracing applications. We used both classical and deep learning methods for classification experiments.…”
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132
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
Published 2017“…The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload classification. …”
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Comparison of Machine Learning Algorithms for Classification of Partial Discharge Signals in Medium Voltage Components
Published 2021“…The proposed solution can be valuable for the development of automated classification.…”
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135
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VLSI Design of LSTM‐Based ECG Classification for Continuous Cardiac Monitoring on Wearable Devices
Published 2025“…The presented design is verified on a Xilinx field‐programmable gate array and tested using the publicly available ECG data set. Compared to state‐of‐the‐art implementations, our approach achieves a superior balance between classification accuracy, power efficiency, and hardware resource optimization, making it suitable for wearable cardiac monitoring applications.…”
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LimitAccess: on-device TinyML based robust speech recognition and age classification
Published 2023“…To address this issue, the LimitAccess system is proposed, which uses TinyML for age classification and helps parents limit children’s access to critical speech recognition services. …”
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139
Intelligent Machine Vision Model for Building Architectural Style Classification based on Deep Learning
Published 2022“…We constructed a machine vision model based on DL to investigate the effectiveness of DL in the classification problem at hand. A publicly available annotated dataset was used to train and validate the proposed model. …”
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140
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
Published 2018“…Educational Data Mining (EDM) is the process of discovering information and relationships from educational data for better understanding of students’ performance, and characteristics of their education providers. Classification is a Data Mining (DM) technique used for prediction. …”
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