Search Results - (( java application path algorithm ) OR ( waste detection models algorithm ))

Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran by Amran, Aiman Syafwan

“…This system was put to two tests of testing which were functionality testing of the whole system and the metric evaluation of the object detection and classification model. The object detection and classification algorithm achieved 91.9% mean average precision in metric evaluation. …”
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Performance Review of Modern AI Algorithms Utilized for Medical Waste Sorting Works by Moktar M.H., Hajjaj S., Mohamed H., Weng L.Y.

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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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Medical Waste Detection and Classification Through YOLO Algorithms by Moktar M.H.B., Hajjaj S.S.H., Mohamed H.

Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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RGB and RGNIR image dataset for machine learning in plastic waste detection by Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, Samsul Ariffin Abdul Karim, Ashraf Osman Ibrahim Elsayed, Nada Adam, Hadia Abdelgader Osman

“…The proposed dataset offers a unique resource for researchers to train machine learning models for plastic waste detection. While there are existing datasets on plastic waste, the proposed dataset aims to set itself apart by offering a more comprehensive dataset with unique spectral information in the near-infrared region. …”
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Recyclable waste classification using YOLO-based Convolutional Neural Network (CNN) / Shaharil Armin Sharizal by Sharizal, Shaharil Armin

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Automation of plastic waste sorting through robotic technology by Chong, Yoong Kiat

“…A YOLOv8 deep learning model, trained on a custom dataset of waste images, was integrated with the ByteTrack algorithm to provide real-time object detection and tracking. …”
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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management by Eugine Teh, Yin Jie, Chee Soon, Chong, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Muhamad Fadli, Ghani, Howe Cheng, Teng, Nur Farhanah, Zulkipli, Siaw Hong, Liew

“…Advanced data preprocessing, such as augmentation and normalization, ensures robust model training, while optimized algorithms guide waste sorting based on classification results. …”
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Web Algorithm search engine based network modelling of Malaria Transmission by Eze, Monday Okpoto

“…The model output was validated with UCINET 6.0 as the benchmark system. …”
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Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech by Seman N., Bakar Z.A., Bakar N.A., Mohamed H.F., Abdullah N.A.S., Ramakrisnan P., Ahmad S.M.S.

“…As a result, the Hidden Markov Model (HMM) recognizer derived the recognition accuracy rate of 91.4% for combination of both algorithms, if compared only 86.3% for STE and 82.1% for STZC rate alone. …”

An approach of classifying waste using transfer learning method by Amin, Zian Md Afique, Khan, Nasik Sami, Hassan, Raini

“…Only unskilled workers conduct waste separation, which is less accurate, time-consuming, and not utterly possible due to the enormous amount of waste. …”
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Analysis of the effectiveness of natural treatments for preserving apricots and the YOLOv7 application for early damage detection by Al-Sammarraie, Mustafa A.J., Gokalp, Zeki, Abd Aziz, Samsuzana

“…On the other hand, the YOLOv7 algorithm was used to detect healthy fruits and damaged areas using a camera. …”
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A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee by Wong , Wen Yee

“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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Stochastic Modelling Of Bioethanol Fermentation By Saccharomyces Cerevisiae Grown In Oil Palm Residues by Samsudin , Mohd Dinie Muhaimin

“…Therefore, a predictability test was carried out using Monte Carlo algorithm. Results showed that consistence bioethanol yield with this study could be expected if the fluctuation of kinetic model parameters is 2.5% or below. …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

“…This review highlights the ongoing challenges related to AI model generalizability across diverse patient populations and the need for more transparent and standardized validation processes. …”
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Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

“…Exploring the app's state extensively requires long event sequences to find the correct combination of actions, leading to excessively long transitions and wasted time. Such tools must choose not only which user interface element to interact with, but also which type of action to be performed to increase the percentage of code coverage and to detect faults with a limited time budget. …”
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Improvement of xylanase production by recombinant Escherichia coli DH5α using fed-batch fermentation by Basar, Bazilah

“…Very low residual glucose (0.004 g L-1) and very small quantity of acetic acid was detected throughout this fermentation run. The final cell concentration obtained in fed-batch fermentation (10.33 g L-1) was about 6.5% higher than that obtained in optimal batch fermentation (6.26 g L-1). …”
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