A Survey on Automatic Face Recognition Using Side-View Face Images by Pinar Santemiz, Luuk J. Spreeuwers, Raymond N. J. Veldhuis

“…Furthermore, we introduce current datasets and benchmarks, conduct performance evaluations across diverse methods, and explore their unique constraints. …”
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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning. by Yan Feng Zhao, Jun Kit Chaw, Mei Choo Ang, Yiqi Tew, Xiao Yang Shi, Lin Liu, Xiang Cheng

“…Additionally, a dual safety mechanism of 'proactive guidance + reactive correction' was introduced to reduce the risks of hyperglycemia and hypoglycemia and to prevent emergencies. Performance evaluations in the Simglucose simulator demonstrate that the proposed controller achieved an 87.45% time in range (TIR) median, superior to baseline methods, with a lower incidence of hypoglycemia, notably eliminating severe hypoglycemia and treatment failures. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

“…The novelty lies in the extensive experimentation and performance evaluations conducted, which reveal substantial improvements in prediction accuracy rates compared to existing methods. …”
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Supply chain performance of robusta coffee produced in the mountainous areas of Temanggung Indonesia by Susanawati, Fauzi Diaz Keenan

“…Descriptive analysis and supply chain performance evaluations were conducted, using a 1 to 5 scale for product and money flows, and a 1 to 2 scale for information flow. …”
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Integrated Dairy Production and Cattle Healthcare Management Using Blockchain NFTs and Smart Contracts by Saravanan Krishnan, Lakshmi Prabha Ganesan

“…ZK-Rollups on the Layer 2 blockchain enhance scalability, privacy, and cost-efficiency, while smart contracts automate key processes such as veterinary scheduling, medication delivery, and insurance claims, minimizing administrative overhead. Performance evaluations reveal significant advancements, with transaction delays of 4.1 ms, throughput of 249.8 TPS, gas costs reduced to 26,499.76 Gwei, and a time-to-finality of 1.1 ms, achieved through ZK-SNARKs (ZK-Succinct Non-Interactive Arguments of Knowledge) integration. …”
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Automatic Generation of Simulators for Processors Enhanced for Security in Virtualization by Swapneel C. Mhatre, Priya Chandran

“…All new computer architectures need to be performance evaluated for acceptance and simulation is the most widely used method for evaluation of new processor designs. …”
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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…The segmentation purity and conditional entropy have been calculated to measure the performance. Evaluations show that the proposed method has an acceptable performance comparing to some existing approaches.…”
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RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks by Muhammad Tanveer, Saud Alhajaj Aldossari

“…The security of the session is rigorously evaluated using formal methods, including Scyther and the random or real model, alongside informal approaches. Comparative performance evaluations show that the proposed RAM-MEN reduces communication costs by 21.54% to 45.53% and computational costs by 17.09% to 83.72%, while providing enhanced security features.…”
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An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security by J. Maruthupandi, S. Sivakumar, B. Lakshmi Dhevi, S. Prasanna, R. Karpaga Priya, Shitharth Selvarajan

“…Results are such that the IADCL framework detects cyberattacks with a high degree of accuracy, and the performance evaluations are made based on a number of key performance metrics. …”
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CORPORATE GOVERNANCE AND PUBLIC SECTOR PERFORMANCE IN NORTH CENTRAL NIGERIA by Aminat Arike ARIYO-EDU

“…It advises public sector agencies to establish comprehensive governance frameworks, conduct frequent performance evaluations, and use worldwide best practices to improve transparency, accountability, and service delivery. …”
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Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

“…This process significantly speeds up the whole process of learning and classification. Performance evaluations with face datasets such as AR, FERET, JAFFE, and CK+ datasets show that the proposed method delivers better face classification performance than the network trained with Supervised Synaptic-Time Dependent Plasticity (STDP). …”
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Multi-Strategy Improved Whale Optimization Algorithm and Its Engineering Applications by Yu Zhou, Zijun Hao

“…Lastly, a combined mutation mechanism is employed to enhance population diversity, prevent the algorithm from stagnating in local optima, and consequently augment its overall search capability. Performance evaluations on CEC2017 benchmark functions show ImWOA outperforming five metaheuristic algorithms and three WOA variants in optimization accuracy, stability, and convergence speed. …”
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Modeling Slotted Aloha as a Stochastic Game with Random Discrete Power Selection Algorithms by Rachid El-Azouzi, Essaid Sabir, Tania Jiménez, El-Houssine Bouyakhf

“…Furthermore, we derive the throughput and the expected delay and use them as the objectives to optimize and provide a stability analysis as alternative study. Exhaustive performance evaluations were carried out, we show that schemes with power differentiation improve significantly the individual as well as global performances, and could eliminate in some cases the bi-stable nature of slotted aloha.…”
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Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas by Henna Paaso, Aki Hakkarainen, Nikhil Gulati, Damiano Patron, Kapil R. Dandekar, Mikko Valkama, Aarne Mämmelä

“…In addition, we evaluate the performance of the APPR and MUSIC algorithms with numerical simulations as well as with real world indoor measurements having both line-of-sight and non-line-of-sight components. Our performance evaluations show that the DoA estimates are in a considerably good agreement with the real DoAs, especially with the APPR algorithm. …”
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Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

“…The machine learning model using the K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Naive Bayes (NB), Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) algorithms demonstrated notable precision in performance evaluations. The individual accuracy values for each algorithm are as follows: KNN, 86%; GBM, 86%; NB, 84%; LR, 89%; RF, 87%; and SVM, 87%. …”
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Critical evaluation of accident tolerant fuel selection criteria for APR-1400 nuclear reactors by Mohammad Alrwashdeh, Asma Alzarooni, Khurrum Saleem Chaudri, Maithah Alaleeli, K. Karuppasamy, Andreas Schiffer, Imran Afgan, Daniel Choi, Saeed A. Alameri

“…In order to accomplish this objective, comprehensive review and assessments of the potential ATFs, including neutronics, thermal-hydraulic, thermomechanical/chemical, and fuel performance evaluations, were conducted, encompassing multiple candidate ATF concepts. …”
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Enhanced Detection of Viable <i>Escherichia coli</i> O157:H7 in Romaine Lettuce Wash Water Using On-Filter Propidium Monoazide-Quantitative PCR by Zhao Chen

“…The limit of detection (LOD) was 1.3 CFU/mL, confirming its suitability for detecting low bacterial loads. Performance evaluations revealed that PMA-qPCR was accurate at viable-to-dead cell ratios of 1:10 or higher but became less reliable when dead cells outnumbered viable cells by a factor of 10 or more. …”
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An Investigation of Soil Profile Depth Change on Site Response Analysis by Fatma İlknur KARA, Barış Şahin

“…The paper concludes that, for the soil profile addressed in this study, the derived design spectrum related to soil type ZE- regardless of the depth change - is conservative for all periods except the high rise buildings as well as the buildings that do not require advanced performance evaluations such as new designed reinforced concrete buildings, precast concrete buildings and steel buildings.…”
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Simplified Target Strength Analysis Procedure of an Underwater Vehicle Considering Target Strength Absorbing Materials by Jangwoo Kim, Jaeman Kim, Joo-Yeob Lee, Dae-Seung Cho, Sung-Ju Park, Kyungjun Song, Yun-ho Shin, Kookhyun Kim

“…From the observed results, it is concluded that the transfer matrix method is more suitable for practical TS analysis than the 4-microphone method because of the relatively low calculation and time costs required for the acoustic performance evaluations of TSAMs. In addition, a simplified TS analysis procedure considering the echo reduction (ER) and transmission loss (TL) is proposed based on the combining method of physical optics and geometric optics (PO/GO combined method) and equivalent material properties. …”
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Multi-Timescale Modeling Framework of Hybrid Power Plants Providing Secondary Frequency Regulation by Yuxin Deng, Xin Fang, Ningchao Gao, Jin Tan

“…Additionally, the framework facilitates comprehensive economic and frequency performance evaluations. Case studies on a modified IEEE 39-bus system demonstrate the framework&#x2019;s ability to ensure frequency performance with flexible HPP operation modes, align BESS state-of-charge (SOC) with dispatch targets, and optimize reliability and economic outcomes under various scenarios.…”
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