Classification of wheat flour levels in powdered spices using visual imaging by Kamran Kheiralipour, Mohammad Hossein Nargesi

“…The present research aims to investigate the ability of image processing in the detection of wheat flour adulterant in different spices. …”
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Proses Penyediaan Taman Kota Berdasarkan Fungsi Ruang Terbuka Hijau (Kasus: Taman Kota di Kota Bojonegoro) by Milla Kamilatuzzahroh, Septiana Hariyani, Johannes Parlindungan Siregar

“…The analysis uses the Process Hierarchy Analysis (AHP) method to determine the value of the priority vector of functions and the value of the priority vector on the supporting factors of the provision of urban parks. …”
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FLEXURAL VIBRATIONS OF THE VERTICAL ROD VARIABLE SECTION WITH A CONCENTRATED MASS by M. Kh. Alokova, Kh. P. Kulterbaev

“…We study the oscillations excited vector harmonic and random processes with the components of a kinematic and dynamic disturbances. …”
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Three-Dimensional Ice-Flow Recovery from Ascending–Descending DInSAR Pairs and Surface-Parallel Flow Hypothesis: A Simplified Implementation in SNAP Software by Alejandro Téllez-Quiñones, Adán Salazar-Garibay, Beatriz I. Cruz-Sánchez, Hugo Carlos-Martínez, Juan C. Valdiviezo-Navarro, Victor Soto

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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

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ARTIFICIAL INTELLIGENCE TECHNIQUES APPLIED TO PREDICT TEAMS POSITION OF THE BRAZILIAN FOOTBALL CHAMPIONSHIP by Mariana Kleina, Mateus Noronha dos Santos, Tiago Noronha dos Santos, Marcos Augusto Mendes Marques, Wiliam de Assis Silva

“…The SVM technique was slightly better than MLP. A post-processing analysis of the SVM results was applied to the 2018 A league data from the Brazilian championship, resulting in 85% success indicator of groups.…”
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Principle Analysis of Connected-Grid Control Method for Doubly-fed Wind Power Generator and Its Simulating Experimental Research by 张劲松, 刘连根, 徐凤星, 佘岳

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Non-intrusive load identification method based on VMD and PSO-SVM by YANG Rui, ZOU Xiaosong, XIONG Wei, YUAN Xufeng, ZHENG Huajun, LIU Bin

“…In view of the advantage of variational mode decomposition (VMD) in signal processing, a load identification algorithm based on variational mode decomposition and fast independent component analysis (VMD-FastICA) and variational mode decamposition-entropy-particle swanm optimization fo optimizing support vector machines (VMD-Entropy-PSOSVM) is proposed. …”
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Open-loop mode resonance risk determination based on measurement model by Xingliang ZHANG, Wenjuan DU, Haifeng WANG

“…The impedance transfer function matrix is obtained after fitting the frequency response of the measurement model by vector fitting technology, which is transformed into a time-domain state-space model and connected to the closed-loop system. …”
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High-efficiency filtration: Smart designs for particle trapping by Bahador Abolpour, Ramtin Hekmatkhah, Rahim Shamsoddini

“…To achieve this, we use a genetic algorithm to determine the optimal arrangement of square obstacles within a turbulent flow field. The process starts with an image processing method (IPM) that identifies geometric objects in the filtered image. …”
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DDoS Attack Detection in SDN-Assisted Federated Learning Environment Based on Contrastive Learning by Minghong Fan, Jinghua Lan, Yiyi Zhou, Mengshuang Pan, Junrong Li, Daqiang Zhang

“…In the first layer, we integrate Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) to identify DDoS attacks. In the second layer, we enhance the classifier structure by combining Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (BiGRU). …”
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Unresolved and Suppressed Scientific Issues Left by the COVID-19 Pandemic by M. V. Supotnitskiy

“…Over 3,000 scientific publications on the features of the epidemic process, disease immunology, and vaccination complications were identified. …”
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Chatbot Informasi Penerimaan Mahasiswa Baru Menggunakan Metode FastText dan LSTM by Fahmi Yusron Fiddin, Agus Komarudin, Melina Melina

“…In this study, the text classification model uses the FastText method as the stage for representing words in vector form, then combined with several pre-processing methods (Tokenization & Casefolding) and LSTM for the classification stage. …”
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Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization by Hyasseliny A. Hurtado-Mora, Luis A. Herrera-Barajas, Luis J. González-del-Ángel, Roberto Pichardo-Ramírez, Alejandro H. García-Ruiz, Katea E. Lira-García

“…Traditional classification algorithms, such as k-Nearest Neighbors (KNN), decision trees, Support Vector Machines (SVMs), and ANNs, often suffer from convergence to suboptimal solutions due to their training methods. …”
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Prediabetes detection in unconstrained conditions using wearable sensors by Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos, Apostolos Tsapas, Anastasios Delopoulos

“…Features are aggregated per individual using bootstrap. Support Vector Machines are used to classify normoglycemic vs. prediabetic individuals. …”
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Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring by Rinaldi Anwar Buyung, Alhadi Bustamam, Muhammad Remzy Syah Ramazhan

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Formation of Bearings Parts Waviness in Centerless Mortise Grinding on Rigid Supports by Chalyj V., Moroz S., Tkachuk A., Zablotskyi V., Trokhymchuk I., Stelmakh O.

“…It was found that the formation of waviness depends on the position of the hodograph of the movement of the vector of the center of the part in the complex plane, which in turn depends on the geometric parameters of the rigid supports of the centerless grinder machine. …”
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Development of agricultural pests detection and identification system based on the technology of wireless transmission by Song Gelian, Han Ruizhen, Zhang Yonghua, He Yong

“…In structure, every single platform includes function modules like image acquisition, image processing, feature extraction and classification, GPS and transmission module. …”
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Application of computer vision and machine learning in morphological characterization of Adansonia digitata fruits by Franklin X. Dono, Bernard N. Baatuuwie, Felix K. Abagale, Peter Borgen Sørensen

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Eurasian Policy of Russia and China: Legal and Political Aspects in the Framework of Bilateral Interaction and Multilateral Formats by A. A. Kashirkina, A. N. Morozov, V. V. Sevalnev

“…The article is devoted to the study of the Eurasian vector in the international politics of Russia, including the Russian-Chinese relations at the present stage, participation in the Eurasian Economic Union, other interstate associations created by the states of the Asia-Pacific region. …”
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