Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

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Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

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Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics by Dayan Li

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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

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eHealth Technology: What Do We Know and What do We Need to Learn by Ramzi A. Haraty, Ola A Sukkarieh

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Coordinate regulation of G protein signaling via dynamic interactions of receptor and GAP. by Marc Turcotte, Wei Tang, Elliott M Ross

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Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

“…Results confirm that imputation effectiveness is highly variable-dependent: continuous and temporally autocorrelated variables (TMAX, TMIN, dew point temperature — DEWP) are well reconstructed, whereas discontinuous or noisy variables (WDSP and PRCP) remain challenging.Although ensemble models offer clear advantages, their computational demands and need for hyperparameter tuning may limit real-time implementation in low-resource national meteorological services. …”
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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…The challenge of solving combinatorial problems lies in their computational complexity since most of them are hard constrained. …”
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Use of ICT to Confront COVID-19 by Yousry Saber El Gamal

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Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms by Qingwei Zhong, Yingxue Yu, Yiru Huang, Tianhang Zhang

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A predictive analytics approach with Bayesian-optimized gentle boosting ensemble models for diabetes diagnosis by Behnaz Motamedi, Balázs Villányi

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Categorization of Celebrity Photos Based on Deep Machine Learning for Feature Extraction and Classification by Salwa Shakir Baawi, Farah Jawad Al-Ghanim, Nisreen Ryadh Hamza

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An X-ray image-based pruned dense convolution neural network for tuberculosis detection by Edna Chebet Too, David Gitonga Mwathi, Lucy Kawira Gitonga, Pauline Mwaka, Saif Kinyori

“…In Kenya and throughout Africa, TB continues to wreak havoc on many vulnerable populations, homes, and communities despite being preventable and treatable. …”
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…Despite the significant advancements in computer speech emotion recognition technology, the deployment of intelligent robots in this domain continues to encounter challenges related to inefficiency and emotional ambiguity. …”
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Automatic Classifying of Requirements-Relevant Contents From App Reviews in the Arabic Language by Abualsoud A. Hanani, Alaa R. Isaac, Abdallatif Abu-Issa

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Investigating the impact of vaccination on COVID-19 dynamics and resurgence risks by Abdulaziz Mukhtar, Esther Ncube, Kailash Patidar

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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

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Agroclimatic Suitability of Biomass Sorghum in West Java, Indonesia: A CLIMEX-Based Study for Renewable Energy Development by Eka Putri Wulandari, Impron, Handoko, Erma Yulihastin, Sanaullah Zehri, Bayu Faisal Nugraha

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On the approximate solution of the Cauchy problem for the Helmholtz equation on the plane by Davron Juraev, Nazira Mammadzada, Praveen Agarwal, Shilpi Jain

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A Searching Method of Candidate Segmentation Point in SPRINT Classification by Zhihao Wang, Junfang Wang, Yonghua Huo, Yanjun Tuo, Yang Yang

“…In this paper, an improved SPRINT algorithm is proposed, which searches better candidate segmentation point for the discrete and continuous attributes. The experiment results demonstrate that the proposed algorithm can reduce the computation cost and improve the efficiency of the algorithm by improving the segmentation of continuous attributes and discrete attributes.…”
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