Search Results - (( gender detection system algorithm ) OR ( spider classification using algorithm ))*
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Social spider optimisation algorithm for dimension reduction of electroencephalogram signals in human emotion recognition
Published 2018“…Due to some limitations of current heuristics and evolutionary algorithms, this paper proposed a new swarm based algorithm for feature selection method called Social Spider Optimization (SSO-FS). …”
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A deep learning approach for facial detection in targeted billboard advertising / Lau Sian En
Published 2025“…The system employs Multi-task Cascaded Convolutional Networks (MTCNN) for face detection in the DeepFace model, processes webcam photos, predicts age and gender, and maps relevant advertisements accordingly. …”
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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)
Published 2023“…The system leverages the Multi-task Cascaded Convolutional Networks (MTCNN) algorithm, along with a classifier and the OpenCV library, to accurately recognize faces and extract age and gender information. …”
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Undergraduates Project Papers -
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Development Of Human Skin Detection Algorithm Using Multilayer Perceptron Neural Network And Clustering Method
Published 2017“…The performance of the developed system has been compared with the existing intelligent skin detection systems. …”
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Facial geometry and speech analysis for depression detection
Published 2017“…The proposed system has been tested both in gender independent and gender based modes, and with different fusion methods. …”
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Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data
Published 2014“…This detection system can produce warning signals for epileptic seizures. …”
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Conference or Workshop Item -
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Customer analysis with machine vision
Published 2023“…When the customer passes through a counting line drawn by the system, customer counting occurs, and the system will crop their faces for facial recognition and gender classification. …”
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Final Year Project / Dissertation / Thesis -
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Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data
Published 2014“…However, the common clinical approaches fall short when attempting to design an automated system to detect and predict partial seizure for epileptic patients. …”
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Embedded Fuzzy Classifier for Detection and Classification of Preseizure State Using Real EEG Data
Published 2013“…This detection system can produce warning signals for epileptic seizures. …”
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Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan
Published 2023“…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. The results show the algorithm's impressive performance with an 86% precision in predicting ASD traits. …”
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Design and implementation of smart wireless campus network based on lora and wi-fi
Published 2023“…An additional package to recognize the gender of the passengers is provided. The system utilizes YOLO for object detection and DeepSORT for tracking, which runs on a Raspberry Pi 4 with Intel Neural Compute Stick (NCS) 2. …”
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Final Year Project / Dissertation / Thesis -
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Human identification at a distance using body shape information
Published 2013“…Then, the features are recognized using fuzzy logic approach and used as inputs to a recognition system based on a multilayer neural network. The developed system is only applicable for recognizing a person from its frontal view and specifically constrained to male gender to simplify the algorithm. …”
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Multiview face emotion recognition using geometrical and texture features
Published 2017“…A 3D face pose estimation algorithm detects head rotations of Yaw, Roll and Pitch for emotion recognition. …”
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An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein
Published 2022“…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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