Search Results - object ((((section algorithm) OR (prediction algorithm))) OR (detection algorithm))

A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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The fusion of edge detection and mathematical morphology algorithm for shape boundary recognition by Othman, Mahmod, Syed Abdullah, Sharifah Lailee, Ahmad, Khairul Adilah, Abu Bakar, Mohd Nazari, Mansor, Ab Razak

“…To address this problem, this paper proposes a fusion of selected edge detection algorithms with mathematical morphology to enhance the ability to detect the object shape boundary. …”
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Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal by Zainal, Mohamad Izwan

“…The performance of single and multiobjective CSSA optimization were compared to initial conditions and the value of power losses, voltage profile, number of switching involved, and convergence curve were obtained. In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
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DEEP LEARNING ALGORITHM IMPLEMENTATION FOR SHIP DETECTION IN SPOT SATELLITE IMAGES by HANIZAM, MOHD HAZIQ NAZMI

“…The project is carried out with the objective to implement the algorithm on SPOT satellite images that can accurately localize the region of interest (ROI) of the ship. …”
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Flock optimization algorithm-based deep learning model for diabetic disease detection improvement by Balasubramaniyan, Divager, Husin, Nor Azura, Mustapha, Norwati, Mohd Sharef, Nurfadhlina, Mohd Aris, Teh Noranis

“…These issues affect the system's performance and reduce diabetic disease detection accuracy. Hence, the research objective is to create an improved diabetic disease detection system using a Flock Optimization Algorithm-Based Deep Learning Model (FOADLM) feature modeling approach that leverages the PIMA Indian dataset to predict and classify diabetic disease cases. …”
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Bioelectrical impedance analysis-derived phase angle as a pragmatic screening tool for assessing sarcopenia in multi-ethnic peritoneal dialysis patients by Lee, Shi-Wah, Mat Daud, Zulfitri Azuan, Lim, Jun-Hao, Lim, Cordelia-Kheng-May, Ibrahim, Imliya, Chan, Yoke-Mun, Zakaria, Nor Fadhlina

“…Early diagnosis is crucial, but universal screening is often hindered by the complexity of diagnostic algorithms and limited clinical resources. Therefore, this study aims to investigate the ability of bioelectrical impedance analysis-derived phase angle (PhA), a convenient and cost-effective technique, in detecting sarcopenia among PD patients. …”
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Development of a smart edge device for fire detection by Ng, Wei Yuan

“…The system is based on an object detection model for fire detection using the Improved YOLOv5s algorithm, which integrates BiFPN and an additional prediction layer for detecting small targets of fire. …”
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Development of Real-Time Eye Tracking Algorithm by Anwar, S.N.S.S., Aziz, A.A., Adil, S.H.

“…The eye tracking algorithm has an added feature to detect eye blinking for drowsiness detection. …”
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Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail by Ismail, Muhammad Sirajuddin

“…The objective is to develop Dengue Outbreak Prediction System using Artificial Neural Network algorithm and evaluate its performance. …”
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Oil spill detection and characterization from satellite image using artificial neural network algorithm by Ridha, S., Wardaya, P.D.

“…This paper describes the use of artificial neural network to identify and characterize oil spill acquired from satellite imagery. The objective of the algorithm is to classify every pixel of the image whether it is sea water or oil based on its intensity. …”
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Adaptive path finding algorithm in dynamic environment for warehouse robot by Ng, Mun Kit, Chong, Yung Wey, Ko, Kwang man, Park, Young Hoon, Leau, Yu Beng

“…AD* algorithm is able to detect not only static obstacle but also dynamic obstacles while operating in warehouse environment. …”
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Snake detection system using convolutional neural network / Muhammad Danial Ahmad Tarmizi by Ahmad Tarmizi, Muhammad Danial

“…This project uses Convolutional Neural Network algorithms which is one the best algorithms for image processing. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Recognition software achieved 87.14%, EPD algorithm achieved 73.57% and HMT algorithm achieved 74.30%) prediction accuracy with OTs. …”
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

“…The transductive conformal prediction and outlier detection have been employed for feature selection algorithm. …”
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques by Muhammad Afnan, Mohammad Nasir

“…As the result, to make a prediction user need to set their data health in the Python using Random Forest algorithm to detect either they have a heart disease or not.…”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

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Improving robotic grasping system using deep learning approach by Mohannad K. H., Farag

“…Despite their long history, the use of computer vision technology for grasp prediction and object detection is still an active research area. …”
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Passive forward scatter radar based on LTE signal for vehicle detection and classification by Abdul Aziz, Noor Hafizah

“…This thesis clarifies in details the LTE based passive forward scatter radar receiver circuit, the detection scheme and the classification algorithm. …”
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Recursive linear network modeling for detecting gas leak by Md Akib, Afifi, Saad, Nordin, Asirvadam, Vijanth

“…Relative mass loss of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithm. The objective of this paper is to describe the use of recursive solution in order to predict the release of mass flow rate using on-line data. …”
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Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin by Ahmad Kamaruddin, Saadi

“…However, this algorithm is not totally robust in the presence of outliers that usually exist in the routine time series data, and this may cause false prediction of future values. …”
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