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AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems

• Authors : Motwani, Sumeet Ramesh; Du, Chuan; Petrov, Aleksander

Subjects: Machine Learning; Artificial Intelligence

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OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models

• Authors : Zhang, Jianzhang; Zhou, Jialong; Liu, Chuang

Subjects: Artificial Intelligence; Machine Learning

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Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems

• Authors : Ekramul Haque Tusher; Mohd Arfian Ismail; Md Arafatur Rahman

Subjects: Email spam; machine learning; deep learning

• Source: IEEE Access, Vol 12, Pp 143627-143657 (2024)

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A Survey on Multi-UAV Path Planning: Classification, Algorithms, Open Research Problems, and Future Directions

• Authors : Mamunur Rahman; Nurul I. Sarkar; Raymond Lutui

Subjects: multi-UAV (multi-unmanned aerial vehicle); path planning; metaheuristic

• Source: Drones, Vol 9, Iss 4, p 263 (2025)

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Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study.

• Authors : Lorenzoni G; David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.; Tavares C

Subjects: Depression*/Depression*/Depression*/diagnosis ; Natural Language Processing* ; Machine Learning*

• Source: PloS one [PLoS One] 2025 May 28; Vol. 20 (5), pp. e0322299. Date of Electronic Publication: 2025 May 28 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems

• Authors : Ramanujam, Asha; Elyoumi, Adam; Chen, Hao

Subjects: Machine Learning

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Machine learning for email spam filtering: review, approaches and open research problems

• Authors : Emmanuel Gbenga Dada; Joseph Stephen Bassi; Haruna Chiroma

Subjects: Computer science; Computer security; Computer privacy

• Source: Heliyon, Vol 5, Iss 6, Pp e01802- (2019)

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Comprehensive Analysis of Network Slicing for the Developing Commercial Needs and Networking Challenges.

• Authors : Zahoor S; Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan.; Ahmad I

Subjects: Artificial Intelligence* ; Machine Learning*; Automation

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 01; Vol. 22 (17). Date of Electronic Publication: 2022 Sep 01.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery.

• Authors : Sugadev M; Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India.; Rayen SJ

Subjects: Big Data* ; Machine Learning*; Humans

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jul 19; Vol. 2022, pp. 6510934. Date of Electronic Publication: 2022 Jul 19 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Beyond the Leaderboard: Insight and Deployment Challenges to Address Research Problems

• Authors : Mendrik, Adrienne M.; Aylward, Stephen R.

Subjects: Computers and Society; Computer Vision and Pattern Recognition; Machine Learning

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