RECENT ADVANCEMENTS IN MACHINE LEARNING TECHNIQUES UTILISED BY NOvA

Ionization-based search for magnetic monopoles using the NOvA Far Detector
by: The NOvA Collaboration
Published: (2025)

Expanding neutrino oscillation parameter measurements in NOvA using a Bayesian approach
by: NOvA Collaboration, et al.
Published: (2023)

RECOMMENDATION SYSTEM FOR PERSONALIZED NUTRITIONAL SOLUTIONS USING MACHINE LEARNING TECHNIQUES
by: Ronal-Steven Pérez-Baquero
Published: (2024)

THE INTESTINAL ECOSYSTEM IN NEUROINFLAMMATION AND NEUROPROTECTION: MECHANISTIC INSIGHTS AND EMERGING EVIDENCE WITH RECENT ADVANCEMENTS
by: Vinjavarapu L. Anusha*, L. Samatha Sri1, K. Jahnavi1, Mounika1, Sirisha1, Pardhu1, Roddick1, A. Lakshmisai Sri1, K. Naga Venkatasatyasai Himaja1, P. Lakshmi Narayana1, G. Sri Pavani1
Published: (2026)

Search for Accelerator-Produced Sub-GeV Dark Matter with the NOvA Near Detector
by: Abubakar, S., et al.
Published: (2025)

Precision measurement of neutrino oscillation parameters with 10 years of data from the NOvA experiment
by: NOvA Collaboration, et al.
Published: (2025)

Explanation of the seasonal variation of cosmic multiple muon events observed with the NOvA Near Detector
by: The NOvA Collaboration
Published: (2025)

Probing new physics scenarios using high energy events at NOvA far detector
by: Bera, Chinmay, et al.
Published: (2025)

IMPROVING DIABETIC RETINOPATHY RECOGNITION WITH ADVANCED DEEP ENSEMBLE MACHINE LEARNING TECHNIQUES
by: Javed Ahmed,Fareed Ullah,Mudasir Mahmood,Muhammad Javed,Tuba Aziz
Published: (2024)

Monte Carlo method for constructing confidence intervals with unconstrained and constrained nuisance parameters in the NOvA experiment
by: Acero, M. A., et al.
Published: (2022)

A Mass Ordering Sum Rule for the Neutrino Disappearance Channels in T2K, NOvA and JUNO
by: Parke, Stephen J., et al.
Published: (2024)

Measurement of $π^0$ Production in $\barν_μ$ Charged-Current Interactions in the NOvA Near Detector
by: The NOvA Collaboration
Published: (2025)

CUTTING-EDGE STRATEGIES IN CONTEMPORARY LAPAROTOMIC SURGERY: EMERGING TECHNOLOGIES, TECHNIQUES, AND FUTURE ADVANCEMENTS
by: Korniichuk, Vadym, et al.
Published: (2026)

SIMULATING AND ANALYZING SIGNATURE-BASED NETWORK INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING TECHNIQUES
by: Issah, Peter Paul, et al.
Published: (2022)

MACHINE LEARNING-BASED VM PERFORMANCE PREDICTION IN AWS CLOUD USING GRU AND DTW TECHNIQUES
by: ijerst
Published: (2025)

MODELLING TOURISM DEMAND TO SPAIN WITH MACHINE LEARNING TECHNIQUES. THE IMPACT OF FORECAST HORIZON ON MODEL SELECTION
by: OSCAR CLAVERIA
Published: (2016)

First inclusive triple-differential measurement of the muon-antineutrino charged-current cross section using the NOvA Near Detector
by: The NOvA Collaboration
Published: (2026)

Analysis of NOvA and MicroBooNE charged-current inclusive neutrino measurements within the SuSAv2 framework
by: Gonzalez-Rosa, J., et al.
Published: (2024)

Measurement of the double-differential cross section of muon-neutrino charged-current interactions with low hadronic energy in the NOvA Near Detector
by: Acero, M. A., et al.
Published: (2024)

APPROACHES FOR MACHINE LEARNING IN FINANCE
by: Shubham Shukla
Published: (2020)

ARTIFICIAL INTELLIGENCE WITH MACHINE LEARNING CONCEPTS
by: Mr. Pankaj Kumar Dubey Mr. Marut Nandan Tripathi Dr. Nitin Kumar Mr. Shailesh Pratap Vishwakarma
Published: (2026)

DEEPFAKE DETECTION USING MACHINE LEARNING
by: Patil, U. S., et al.
Published: (2025)

ENVIRONMENTAL FRAGILITY BY MACHINE LEARNING ALGORITHMS
by:
Published: (2022)

COOKING AS A CRAFT: LEARNING AND COOKING TECHNIQUES
by: Viana, Aline de Amorim Cordeiro, et al.
Published: (2023)

LEVERAGING MACHINE LEARNING FOR FRAUD DETECTION IN BANKING
by: Journal of Science and Technology Excellence
Published: (2026)

ONLINE FRAUD DETECTION USING MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
by: K. Upendra, J. Sravan, A. Vishwa Teja, et al.
Published: (2026)

AI IN DISEASE DIAGNOSIS IN MACHINE LEARNING AND DEEP LEARNING AND THEIR APPLICATION AND CHALLENGES
by: Mr. M.I. Yasar Ihdisham1*, Mr. R. Jagadesh1, Mr. R. Dhanush2, Mr. M. Premkumar2, Mr. M. Praveenkumar3, Mr. C. Jothimanivannan3
Published: (2026)

STATISTICAL METHODS FOR BIG DATA AND MACHINE LEARNING
by: DR. KOUSHIK MANDAL, et al.
Published: (2025)

FLIGHT DELAY PREDICTION USING MACHINE LEARNING
by: D V Phanindra Kumar, Dr. N. P. Lavanya Kumari
Published: (2025)

ROAD DAMAGE PREDICTION USING MACHINE LEARNING
by: ijesat
Published: (2025)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DRUG DESIGN
by: Aleena, et al.
Published: (2025)

Measurement of d2sigma/d|q|dEavail in charged current neutrino-nucleus interactions at <Ev> = 1.86 GeV using the NOvA Near Detector
by: Acero, M. A., et al.
Published: (2024)

NAÏVE BAYES IS AN INTERPRETABLE MACHINE LEARNING ALGORITHM FOR PREDICTING OSTEOPOROTIC HIP FRACTURE IN‐HOSPITAL MORTALITY COMPARED TO OTHER MACHINE LEARNING ALGORITHMS
Published: (2024)

TARMOQ TRAFIGINI BASHORAT QILISHDA MACHINE LEARNING ALGORITMLARI
by: Ibragimov, Sh.M, et al.
Published: (2026)

ANAMOLY DETECTION IN IOT NETWORKS USING MACHINE LEARNING
by: Harsha N. S, et al.
Published: (2025)

OPTIMIZING MACHINE LEARNING ALGORITHMS FOR HEART DISEASE PREDICTION
by: Dr. Shiksha Dubey*, et al.
Published: (2025)