EBU’L-BEREKAT EL-BAĞDADİ’NİN MANTIK İLMİNE BAKIŞI by Ahmet Kamil Cihan

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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

“…Through simulation and comparison experiments evaluating the overall classification accuracy (OA) and Kappa coefficient, it was found that the GE-AP method achieves the highest OA and Kappa coefficient compared to three other methods, with maximum increases of 8.89% and 13.18%, respectively. …”
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Estudo comparativo dos elementos do Balanço Hídrico Climatológico para cidades de São Paulo e para Paris by Comparative study of the elements of the climatic hydraulic balance for two cities of São Paulo State and Paris, Emerson Galvani

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Les lecteurs de Samokov au XIXe siècle by Stoyanka Kenderova

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A Taxonomy of Reconfigurable Single-/Multiprocessor Systems-on-Chip by Diana Göhringer, Thomas Perschke, Michael Hübner, Jürgen Becker

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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

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Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise by Aref Smiley, Joseph Finkelstein

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PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS by Do Thanh Nghi, Pham Nguyen Khang, Nguyen Van Hoa, Ly Hoang Trong

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Study on the Bearing Fault Diagnosis based on Feature Selection and Probabilistic Neural Network by Liu Yunzhe, Hu Jinhai, Ren Litong, Yao Kaixiang, Duan Jinfeng, Chen Lin

“…To improve the aero- engine fault diagnosis accuracy grade,by using the DET and PNN classification techniques,a bearing fault diagnosis technique based on feature selection and PNN is put forward.Firstly,the bearing fault test data are extracted to form the multi- domain fault diagnosis feature set composed of 14 time- domain features and 13 frequency- domain features. …”
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Best Approach for Low-Risk Superficial Bladder Cancer by Eduardo Solsona

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Learning attribute network algorithm based on high-order similarity by Shaoqing WU, Yihong DONG, Xiong WANG, Yan CAO, Yu XIN

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An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron by Muhamad Ridwan, Ema Utami

“…Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms. …”
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Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics by Beata Hejmanowska, Piotr Kramarczyk

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Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

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Surface electromyography evaluation for decoding hand motor intent in children with congenital upper limb deficiency by Marcus A. Battraw, Justin Fitzgerald, Eden J. Winslow, Michelle A. James, Anita M. Bagley, Wilsaan M. Joiner, Jonathon S. Schofield

“…We derived the congenital feature set (CFS) from the participant-specific tuned feature sets, which exhibited generalizability across our cohort. The CFS offline classification accuracy across participants was 73.8% ± 13.8% for the 11 hand movements and increased to 96.5% ± 6.6% when focusing on a reduced set of five movements. …”
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Study on the RV Reducer based on Patent Map Technology by Chen Zhilan Chen Yunjie

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EEG-Based Emotion Recognition with Combined Fuzzy Inference via Integrating Weighted Fuzzy Rule Inference and Interpolation by Fangyi Li, Fusheng Yu, Liang Shen, Hexi Li, Xiaonan Yang, Qiang Shen

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Parsimonious versus extensive bleeding score: can we simplify risk stratification after percutaneous coronary intervention and reduce bleeding events by de-escalation of the antipl... by Pascal Vranckx, Stephan Windecker, Marco Valgimigli, Neil O’Leary, Yoshinobu Onuma, Peter Damman, Eva Christine Ida Woelders, Kai Ninomiya, Denise Adriana Maria Peeters, Arnoud Willem Johannes van 't Hof, Patrick Washington J C Serruys, Robert-Jan Matthijs van Geuns

“…The ZON-HR classification had a lower sensitivity (0.09 vs 0.26) and a higher specificity (0.97 vs 0.84), positive predictive value (0.13 vs 0.08) and accuracy (0.92 vs 0.82). …”
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