Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

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The Effects of Different Phase on Independent Visual Fields SSVEP Responses by Dalu Zheng, Songyun Xie, Xinzhou Xie, Michael Scholz, Hao Tang

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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

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GEOINFORMATION TECHNOLOGIES IN THE TRAINING OF FUTURE MINING ENGINEERS by Vladimir S. Morkun, Serhiy O. Semerikov, Svitlana M. Hryshchenko

“…In the continuation of scientific research of this problem, it is advisable to develop a methodological system of teaching Geoinformation technologies for students of specialty 122 "Computer Science". …”
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Rural-urban disparities and socioeconomic determinants of caesarean delivery rates in Zimbabwe: Evidence from the 2019 National Multiple Indicator Cluster Survey by G N Musuka, G Murewanhema, H Herrera, E Mbunge, R Birri-Makota, T Dzinamarira, D Cuadros, I Chingombe, A Mpofu, M Mapingure

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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

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Extensive composable entropy for the analysis of cosmological data by Constantino Tsallis, Henrik Jeldtoft Jensen

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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

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An overview of pink eye infection to evaluate its medications: group decision-making approach with 2-tuple linguistic T-spherical fuzzy WASPAS method by M. Waheed Rasheed, Hind Y. Saleh, Areen A. Salih, Jahangeer Karamat, Muhammad Bilal

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Machine learning assisted prediction with data driven robust optimization: Machining process modeling of hard part turning of DC53 for tooling applications supporting semiconductor... by Mehdi Tlija, Muhammad Sana, Anamta Khan, Sana Hassan, Muhammad Umar Farooq

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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR by Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel

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Research on wireless monitoring system for internal temperature field of coal gangue mountain by Xiaofei Liu, Chunhao Liang, Jifa Qian, Xiaolin Li, Xuemei Li, Baoli Li, Guang Xu, Bin Zhou

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A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

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End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoT by Matthew Boeding, Michael Hempel, Hamid Sharif

“…Initially, protocol specifications are modeled to identify any vulnerable states within the protocol, leveraging the Construction and Analysis of Distributed Processes (CADP) software (version 2022-d “Kista”, which was created by Inria, the French Institute for Research in Computer Science and Automation, in France). Device characteristics are then extracted through automated real-time network emulation tests built on the OMNET++ framework, and all measured device characteristics are then used as a virtual device representation for network simulation tests within the OMNET++ software (version 6.0.1., a public-soucre, open-architecture software, initially developed by OpenSim Limited in Budapest, Hungary), to verify the presence of any potential vulnerabilities identified in the formal modeling stage. …”
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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

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Combining extraction and cultivation methods for soil seed bank analysis increases number of captured species and their similarity to above-ground vegetation by Petr Plohák, Hana Švehláková, Barbara Stalmachová, Miroslava Goňo, Tomáš Dvorský

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