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Efficient k-coverage scheduling algorithms for wireless sensor networks / Ahmed Abdullah Saleh Al-Shalabi
Published 2014“…Furthermore, MLS efficiently reduces the computation complexity and distributes the energy expenditure among sensors in the network. The second algorithm demonstrated in this study is Dynamic k-coverage Scheduling Algorithm (D£CS), to prolong the network lifetime and preserve the required k-coverage in WSNs. …”
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A review of YOLO algorithm and its applications in autonomous driving object detection
Published 2025“…This paper reviews the YOLO algorithm and its application in object detection in autonomous driving scenarios. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…Competency development is carried out on this KMS by downloading lecturer competency materials as needed and conducting discussion forums among colleagues. Lecturer competency measurement is carried out by first checking employee status using the SVM algorithm with an accuracy value of 72.28%, then using a hybrid SVM and PSO algorithm with an accuracy value of 100%. …”
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Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. RD is about locating an appropriate resource/service type that matches the user’s application requirements. …”
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Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. RD is about locating an appropriate resource/service type that matches the user's application requirements. …”
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Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed
Published 2023“…By utilizing Fuzzy DEA (FDEA) model with algorithm, this study observes the PRUMs efficiency status during the study period and the expected average efficiency for the next 2021/2022 academic year. …”
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Prediction of breast cancer diagnosis using machine learning in Malaysian women
Published 2024“…The three frequently used ML algorithms were deep learning, support vector machine (SVM), and cluster analysis. …”
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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models
Published 2025“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
Published 2019“…The data collected was used to learn the structure of BN via some known algorithms using R programming language. Based on related literature on KAP regarding dengue studies done in Malaysia from 1986 to 2017, a framework of handcraft BN was also formulated with dengue KAP expert opinion. …”
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A study on classification learning algorithms to predict crime status.
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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN models
Published 2025“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…On the second level, TOPSIS algorithm allocates resources among an application’s user based on their criteria and the application’s preferences. …”
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Non-halal gelatin prediction: a comparative machine learning analysis between OPLS–DA and ANN modelsramalan gelatin tidak halal: perbandingan analisis pembelajaran mesin antara mod...
Published 2025“…Gelatin is derived from animal collagen, sourced primarily from bovine or porcine, and finds widespread application within the food industry. These issues raise concern over its halal status, particularly among Muslims and Jews, as they adhere to dietary laws prohibiting the consumption of pork and its derivatives. …”
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