Search Results - (( developing refined detection algorithm ) OR ( java code classification algorithm ))

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection by Almazini, Hussein

“…Thus, this study proposes an enhanced binary grey wolf optimiser (EBGWO) algorithm for FS in anomaly detection to overcome the algorithm issues. …”
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Real-time detection of face and iris by Chai, Tong Yuen, Mohamed Rizon, Mohamed Juhari, Prof. Dr., Muhammad Shazri

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Automatic keypoints extraction from UAV image with refine and improved scale invariant features transform (RI-SIFT) by Dibs, Hayder, Idrees, Mohammed Oludare, Saeidi, Vahideh, Mansor, Shattri

“…First the RI- SIFT algorithm was used to detect and extract CPs from two overlapping UAV images. …”
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Development of obstable avoidance system for 3D robot navigation by Er, Kai Sheng

“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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An estimation algorithm for improved maritime obstacle detection by Amir Alaqeb, Abdelrhman Mohamed, Rashid, Muhammad Mahbubur, Mohd Zaki, Hasan Firdaus, Embong, Abd Halim

“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Development of a flexible video analysis system for motion detection and alarm generation by Shafie, Amir Akramin, Ali, Md. Hazrat, Hafiz, Fadhlan, Mat Ali, Roslizar

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Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems by Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani

“…This approach provides a practical and economical solution for PCB defect detection, merging advanced object detection algorithms with accessible, cost-effective hardware. …”
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Facial features for template matching based face recognition by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.

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Spear- phishing attack detection using artificial intelligence by Rajkumaradevan, Sanglidevan

“…The goal is to mitigate phishing and spam threats by using advanced algorithms to detect malicious URLs and classify messages effectively. …”
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Isolated digit speech recognition in Malay language using Neuro-Fuzzy approach by Sabah, R., Ainon, R.N.

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Straight projection conflict detection and cooperative avoidance for autonomous unmanned aircraft systems by Albaker, B.M., Rahim, N.A.

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A review of automatic driving target detection based on camera and millimeter wave radar fusion technology by Tao, Zhenhua, Ngui, Wai Keng

“…Future research should focus on developing comprehensive multimodal datasets, 4D millimeter-wave radar, and refining fusion algorithms for robustness in diverse environments. …”
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Real-time safety helmet detection using enhanced YOLOv5 object detection by Muhammad Zamri, Fatin Najihah, Zulkurnain, Nurul Fariza, Gunawan, Teddy Surya, Kartiwi, Mira, Md Yusoff, Nelidya, Nur, Levy Olivia

“…Extensive research was conducted to analyze all feasible algorithms that can be implemented in the safety helmet detection system and compare the proposed model with an existing one to ensure the proposed system can give high accuracy and high inference speed. …”
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Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

“…Furthermore, colour threshold analysis and edge detection algorithms are redesigned exclusively to refine the two-dimensional coefficients into a more meaningful low-level representation. …”
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An improved diabetes risk prediction framework : An Indonesian case study by Sutanto, Daniel Hartono

“…Lack of diagnosis for diabetes often transpire in some ASEAN countries with relatively diminutive doctor to patient ratio.Essentially,it is believed that a systematic framework to predict diabetes risk factors is crucial for refining diagnostics and improving accuracy. However,there is the issue of noisy dataset detected as incomplete data and the outlier class problem that affects sampling bias.Existing frameworks were deemed difficult in identifying the critical risk factors of diabetes;some of which were considerably inaccurate and consume substantial computation time.The purpose of this study is to develop a suitable framework for predicting diabetes risks.From a complete blood test,the framework can predict and classify the output of either having diabetes risk or no diabetes risk.A Diabetes Risk Prediction Framework (DRPF) was developed from the literature review and case studies were afterwards conducted in three private hospitals in Semarang.Analyses were conducted to find a suitable component of the framework—due to lack of comparison and analysis on the combination of feature selection and classification algorithm.DRPF comprises four main sections: pre-processing,outlier detection,risk weighting,and learning. …”
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Subspace Techniques for Brain Signal Enhancement by Kamel , Nidal, Yusoff, Mohd Zuki

“…Later, the performance of the algorithms is assessed in their abilities to detect the latencies of the P100, P200 and P300 components. …”
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Design of an intelligent robotic donationbox a case study by Salami, Momoh Jimoh Emiyoka, Aibinu, Abiodun Musa, OAP Kader Mohideen, Safinaz, Mansor, Siti Aisha

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Navigating urban skies: obstacle avoidance strategies for quadrotor MAVs by Pebrianti, Dwi, Wong, Jack Kee, Bayuaji, Luhur, Solichin, Achmad

“…We conducted 20 trials of experiments by varying the gain values of Proportional Integral Derivative (PID) values, we fine-tune our obstacle avoidance algorithm. Modifications include optimizing roll and pitch adjustments, refining detection height thresholds, and implementing countermeasures after obstacle clearance. …”
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