Search Results - Modern Machine Learning and Particle Physics: An In-Depth Review

Modern machine learning and particle physics: an in-depth review

Authors: Bhattacherjee, B Mukherjee, S

Source: The European Physical Journal Special Topics. 233:2421-2424

Subject Terms: Centre for High Energy Physics

File Description: application/pdf

Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC.

Authors: Mondal, Spandan Mastrolorenzo, Luca

Source: European Physical Journal: Special Topics; Nov2024, Vol. 233 Issue 15/16, p2657-2686, 30p

Subject Terms: GRAPH neural networks, MACHINE learning, PARTICLE physics, LARGE Hadron Collider, ALGORITHMS, DEEP learning

Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks.

Authors: Choudhury, Arghya Mondal, Arpita Sarkar, Subhadeep

Source: European Physical Journal: Special Topics; Nov2024, Vol. 233 Issue 15/16, p2425-2463, 39p

Subject Terms: MACHINE learning, PARTICLE physics, RANDOM forest algorithms, DECISION trees, CONCEPT learning

Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction.

Authors: De León Pérez, David Salazar-Galán, Sergio Francés, Félix

Source: Water (20734441); Oct2025, Vol. 17 Issue 20, p2932, 28p

Subject Terms: HYDROLOGICAL forecasting, MACHINE learning, FORECASTING, MEASUREMENT uncertainty (Statistics), ARTIFICIAL intelligence, WATER management

Unsupervised and lightly supervised learning in particle physics.

Authors: Bardhan, Jai Mandal, Tanumoy Mitra, Subhadip et al.

Source: European Physical Journal: Special Topics; Nov2024, Vol. 233 Issue 15/16, p2559-2596, 38p

Subject Terms: PARTICLE physics, DETECTORS, DATA modeling

A Stream Power Based Sediment Entrainment Model Across Geophysical Flows Informed by Machine Learning.

Authors: Lu, Xueqiang Zhou, Gordon G. D. Turowski, Jens M. et al.

Source: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-22, 22p

Subject Terms: SEDIMENT transport, MACHINE learning, RIVER conservation, RANDOM forest algorithms, GEOPHYSICAL fluid dynamics

Artificial Intelligence (AI) in Surface Water Management: A Comprehensive Review of Methods, Applications, and Challenges.

Authors: Gacu, Jerome G. Monjardin, Cris Edward F. Mangulabnan, Ronald Gabriel T. et al.

Source: Water (20734441); Jun2025, Vol. 17 Issue 11, p1707, 27p

Subject Terms: MACHINE learning, GRAPH neural networks, LONG short-term memory, TRANSFORMER models, ALGORITHMIC bias

Non-Invasive Radiographic Techniques in Diagnosing and Treating Malignant Tumors in Animals and Humans: Current Trends and Future Directions.

Authors: Alshomrani, Faisal¹ fshomrani@taibahu.edu.sa

Source: Pakistan Veterinary Journal. 2025, Vol. 45 Issue 1, p48-61. 14p.

Subjects: Heavy ion radiotherapy, Proton therapy, Image-guided radiation therapy, Kidney tumors, Prostate tumors

Review article: AntArchitecture – building an age–depth model from Antarctica's radiostratigraphy to explore ice-sheet evolution.

Authors: Bingham, Robert G. Bodart, Julien A. Cavitte, Marie G. P. et al.

Source: Cryosphere; 2025, Vol. 19 Issue 10, p4611-4655, 45p

Detectors in Particle Physics : A Modern Introduction

Authors: Georg Viehhauser Tony Weidberg

Resource Type: eBook.

Subjects: Particles (Nuclear physics), Nuclear counters

Categories: SCIENCE / Physics / Nuclear, SCIENCE / Space Science / Astronomy, SCIENCE / Physics / Astrophysics, SCIENCE / Energy, SCIENCE / Physics / General, TECHNOLOGY & ENGINEERING / Biomedical

Scientific program for the Forward Physics Facility.

Authors: Adhikary, Jyotismita Anchordoqui, Luis A. Ariga, Akitaka et al.

Source: European Physical Journal C -- Particles & Fields; Apr2025, Vol. 85 Issue 4, p1-25, 25p

Subject Terms: PARTICLES (Nuclear physics), PARTICLE physics, DARK matter, PHYSICAL sciences, PHYSICS experiments

Leak Management in Water Distribution Networks Through Deep Reinforcement Learning: A Review.

Authors: Javed, Awais Wu, Wenyan Sun, Quanbin et al.

Source: Water (20734441); Jul2025, Vol. 17 Issue 13, p1928, 30p

Subject Terms: REINFORCEMENT learning, LEAK detection, RESOURCE allocation, MACHINE learning, AQUEDUCTS, ARTIFICIAL intelligence, LEAKAGE, WATER conservation

A review on the applications of machine learning in biomaterials, biomechanics, and biomanufacturing for tissue engineering.

Authors: RenKai Fu Zhenghong Chen Hua Tian et al.

Source: Smart Materials in Medicine; Aug2025, Vol. 6 Issue 2, p171-204, 34p

Trends in Oil Spill Modeling: A Review of the Literature.

Authors: Vasconcelos, Rodrigo N. Lima, André T. Cunha Lentini, Carlos A. D. et al.

Source: Water (20734441); Aug2025, Vol. 17 Issue 15, p2300, 38p

Subject Terms: SIMULATION methods & models, PREDICTION models, UNIVERSITY research, MARINE habitats, INTERDISCIPLINARY research, WEATHER, OIL spill management, MACHINE learning

Large physics models: towards a collaborative approach with large language models and foundation models.

Authors: Barman, Kristian G. Caron, Sascha Sullivan, Emily et al.

Source: European Physical Journal C -- Particles & Fields; Sep2025, Vol. 85 Issue 9, p1-16, 16p

Subject Terms: LANGUAGE models, INTERDISCIPLINARY research, ARTIFICIAL intelligence, REFLECTION (Philosophy), LOGIC, SCIENTIFIC literature, RESEARCH methodology

Research on the Mitigation of Environmental Pollution by Pesticides Due to Spray Drift by Agricultural Sprayers and Unmanned Aerial Spraying Systems.

Authors: MOLNAR-IRIMIE, Adrian RANTA, Ovidiu MARIAN, Ovidiu

Source: Bulletin of the University of Agricultural Sciences & Veterinary Medicine Cluj-Napoca. Agriculture. Nov2025, Vol. 82 Issue 2, p1-11. 11p.

Full phase space resonant anomaly detection

Authors: Buhmann, Erik Ewen, Cedric Kasieczka, Gregor et al.

Source: Physical Review D. 109(5)

Subject Terms: 5107 Particle and High Energy Physics (for-2020), 51 Physical Sciences (for-2020)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/50m491sh
https://escholarship.org/content/qt50m491sh/qt50m491sh.pdf

A Machine Learning Approach to Predicting the Turbidity from Filters in a Water Treatment Plant.

Authors: Kwarko-Kyei, Joseph Tornyeviadzi, Hoese Michel Seidu, Razak

Source: Water (20734441); Oct2025, Vol. 17 Issue 20, p2938, 21p

Subject Terms: TURBIDITY, WATER quality management, PROCESS optimization, ARTIFICIAL intelligence, SAND filtration (Water purification), WATER purification, MACHINE learning

Next‐Generation Vaccines for Co‐Circulating PEDV and TGEV: Integrating Nucleic Acid Platforms, Mucosal Delivery, and AI–Driven Antigen Design.

Authors: Hu, Xiaojun Wang, Zhenshan Wang, Shen et al.

Source: Transboundary & Emerging Diseases. 12/4/2025, Vol. 2025, p1-26. 26p.

Integrating machine learning and empirical approaches for scour depth estimation at sluice gates: evaluating tree-based models, hyperparameter tuning, and proposing new formulas.

Authors: Le, Xuan-Hien Hien, Le Thi Thu

Source: Journal of Hydrology & Hydromechanics / Vodohospodarsky Casopis; Mar2025, Vol. 73 Issue 1, p51-64, 14p