Pretraining Enhanced RNN Transducer by Junyu Lu, Rongzhong Lian, Di Jiang, Yuanfeng Song, Zhiyang Su, Victor Junqiu Wei, Lin Yang

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Ensemble Classification Model With CFS-IGWO–Based Feature Selection for Cancer Detection Using Microarray Data by Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar

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KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt by Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang

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Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach by Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Siji Zhu

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A Novel MEGNet for Classification of High-Frequency Oscillations in Magnetoencephalography of Epileptic Patients by Jun Liu, Siqi Sun, Yang Liu, Jiayang Guo, Hailong Li, Yuan Gao, Jintao Sun, Jing Xiang

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Unconventional nonlinear Hall effects in twisted multilayer 2D materials by Mahmut Sait Okyay, Min Choi, Qiang Xu, Adrián Perez Diéguez, Mauro Del Ben, Khaled Z. Ibrahim, Bryan M. Wong

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Decentralized Asynchronous Formation Planning of Multirotor Aerial Vehicles in Dynamic Environments Using Flexible Formation Graphs and Tight Trajectory Hulls by Fahad Tanveer, Muhammad Bilal Kadri

“…A decoupled and distributed trajectory optimization framework is proposed to enhance the computational feasibility of large-scale formation flights. …”
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A Semi-Analytical Approach for State-Space Electromagnetic Transient Simulation by Min Xiong, Kaiyang Huang, Yang Liu, Rui Yao, Kai Sun, Feng Qiu

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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

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CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations by Trung Nguyen, George K. I. Mann, Andrew Vardy, Raymond G. Gosine

“…Some advanced techniques such as global pose graph optimization and loop closure demand relatively high computation and processing time to execute the optimization procedure for the entire trajectory and may not be feasible to be implemented in a low-cost robotic platform. …”
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An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering by M. Sinthuja, S. Pravinthraja, B K Dhanalakshmi, H L Gururaj, Vinayakumar Ravi, G Jyothish Lal

“…Although various approaches for extracting frequent itemset (prior step before mining association rules) in extremely large databases have been presented, the high computational cost and shortage of memory remain key issues to be addressed while processing enormous data. …”
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Intelligent Segment Routing: Toward Load Balancing with Limited Control Overheads by Shu Yang, Ruiyu Chen, Laizhong Cui, Xiaolei Chang

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Propagation Measurement on Earth-Sky Signal Effects for High Speed Train Satellite Channel in Tropical Region at Ku-Band by Abdulmajeed H. J. Al-Jumaily, A. Sali, J. S. Mandeep, Alyani Ismail

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Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data by Ahmed I. Taloba, R.T. Matoog

“…Due to issues with dimensionality and computational complexity, the relevant features are selected using Forward Feature Selection (FFS). …”
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Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence by Camran R. Nezhat, Tomiko T. Oskotsky, Joshua F. Robinson, Susan J. Fisher, Angie Tsuei, Binya Liu, Juan C. Irwin, Brice Gaudilliere, Marina Sirota, David K. Stevenson, Linda C. Giudice

“…Abstract Endometriosis is an enigmatic disease whose diagnosis and management are being transformed through innovative surgical, molecular, and computational technologies. Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

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Microgrids for Extraterrestrial Habitats: A Review of Technologies, Needs, and Challenges by Leila Chebbo, Muhammed Ali Gultekin, Ali Bazzi, Sean A. Q. Young, Joseph P. Kozak

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Application Layer Protocol Identification Method Based on ResNet by Zhijian Fang, Xiang Gao, Huaxiong Zhang, Jingpeng Tang, Qiang Gao

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Automating Risk Analysis of Software Design Models by Maxime Frydman, Guifré Ruiz, Elisa Heymann, Eduardo César, Barton P. Miller

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Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks by Deependra Rastogi, Prashant Johri, Massimo Donelli, Seifedine Kadry, Arfat Ahmad Khan, Giuseppe Espa, Paola Feraco, Jungeun Kim

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