Biodiversity conservation and threat reduction in Kibale and Queen Elizabeth conservation areas, Uganda by Joseph Katswera, Norah M. Mutekanga, Charles K.Twesigye

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Biodiversity conservation and threat reduction in Kibale and Queen Elizabeth conservation areas, Uganda by Joseph Katswera, Norah M. Mutekanga, Charles K.Twesigye

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Comparison of Random Forest and Support Vector Machine Methods in Sentiment Analysis of Student Satisfaction Questionnaire Comments at ITB STIKOM Bali by Purnama Sidik, I Made Gede Sunarya, I Gede Aris Gunadi

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MyVivarium: A cloud-based lab animal colony management application with realtime ambient sensing by Robinson Vidva, Mir Abbas Raza, Jaswant Prabhakaran, Ayesha Sheikh, Alaina Sharp, Hayden Ott, Amelia Moore, Christopher Fleisher, Hailey Netherton, Evan Goldstein, Pothitos M. Pitychoutis, Tam V. Nguyen, Aaron Sathyanesan

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Balancing Data Privacy and 5G VNFs Security Monitoring: Federated Learning with CNN + BiLSTM + LSTM Model by Abdoul-Aziz Maiga, Edwin Ataro, Stanley Githinji

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Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis by Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah

“…Using an FL approach, multiple IoT nodes collaboratively train a global LSTM model without exchanging raw data, thereby addressing privacy concerns and improving detection capabilities. …”
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A real-time AI tool for hybrid learning recommendation in education: Preliminary results by Chaman Verma

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Integration of wearable technology and artificial intelligence in digital health for remote patient care by Yazeed Yasin Ghadi, Syed Faisal Abbas Shah, Wajahat Waheed, Tehseen Mazhar, Wasim Ahmad, Mamoon M. Saeed, Habib Hamam

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Promoting critical reading instruction in higher education: a three-step training scheme facilitated by using corpus technology by Yang Jing, Mei Fang

“…The development of corpus-based language pedagogy for TESOL teachers: A two-step training approach facilitated by online collaboration. Computer Assisted Language Learning 35(9). 2731–2760, Ma, Q., R. …”
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Solving Equations Systems Using the Penguins Search Optimization by Mafteiu-Scai Liviu Octavian, Mursa Andrei, Mafteiu-Scai Roxana-Teodora

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CFAS: consensus-focused abstractive meeting summarization through multi-party discourse modeling by Yanan Jin, Qingyun Shi, Qiping Liu

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A survey on autonomous navigation for mobile robots: From traditional techniques to deep learning and large language models by Abderrahim Waga, Said Benhlima, Ali Bekri, Jawad Abdouni, Fatima Zahrae Saber

“…Finally, this review outlines emerging trends and open challenges, highlighting potential research directions in collaborative robotics, multi-agent systems, and the broader field of mobile robot navigation.…”
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The NANOGrav 15 yr Data Set: Search for Signals from New Physics by Adeela Afzal, Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Paul T. Baker, Bence Bécsy, Jose Juan Blanco-Pillado, Laura Blecha, Kimberly K. Boddy, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, Rand Burnette, Robin Case, Maria Charisi, Shami Chatterjee, Katerina Chatziioannou, Belinda D. Cheeseboro, Siyuan Chen, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Curt J. Cutler, Megan E. DeCesar, Dallas DeGan, Paul B. Demorest, Heling Deng, Timothy Dolch, Brendan Drachler, Richard von Eckardstein, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Nate Garver-Daniels, Peter A. Gentile, Kyle A. Gersbach, Joseph Glaser, Deborah C. Good, Lydia Guertin, Kayhan Gültekin, Jeffrey S. Hazboun, Sophie Hourihane, Kristina Islo, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, T. Joseph W. Lazio, Vincent S. H. Lee, Natalia Lewandowska, Rafael R. Lino dos Santos, Tyson B. Littenberg, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Chiara M. F. Mingarelli, Andrea Mitridate, Jonathan Nay, Priyamvada Natarajan, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Polina Petrov, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Joseph D. Romano, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Tobias Schröder, Levi Schult, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Peter Stratmann, Jerry P. Sun, Abhimanyu Susobhanan, Joseph K. Swiggum, Jacob Taylor, Stephen R. Taylor, Tanner Trickle, Jacob E. Turner, Caner Unal, Michele Vallisneri, Sonali Verma, Sarah J. Vigeland, Haley M. Wahl, Qiaohong Wang, Caitlin A. Witt, David Wright, Olivia Young, Kathryn M. Zurek, The NANOGrav Collaboration

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SDASS: secure data auditing for sharing matrix based secret share cloud storage supporting data dynamics by Gaopeng Zheng, Hang Gao, Ningxin He, Tiegang Gao

“…Moreover, mathematical analysis shows that the integrity verification of secret shares in cloud server can be obtained by the collaboration fulfillment of data verification in other cloud servers. …”
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Design and development of full self-service smart shopping system for unmanned supermarket by Xiao Liang, Yu Qi, Shuo Xi, Guanglei Meng, Zhujun Wang

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Dual-timescale hierarchical MADDPG for Multi-UAV cooperative search by Jiancheng Liu, Siwen Wei, Bo Li, Tuo Wang, Wanlong Qi, Xingye Han, Gang Hou, Ke Li, Yuqing Lin, Dingrui Xue, Kexin Wang

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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

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GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection by Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao

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Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…This paper proposes GRL-TE (Graph-based Reinforcement Learning for Traffic Engineering), a novel framework that achieves near-optimal performance while maintaining computational efficiency across diverse network scales. …”
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FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning by Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li

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