Image de couverture de livre

ROAD DAMAGE PREDICTION USING MACHINE LEARNING

Fuente: Zenodo

Enregistré dans:

Détails bibliographiques
Auteur principal:	ijesat
Format:	Recurso digital
Publié:	Zenodo 2025
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ACCIDENT SEVERITY PREDICTION FOR ROAD TRANSPORTATION SYSTEM USING MACHINE LEARNING
par: UMEJURU DANIEL, et autres
Publié: (2026)

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

PRICE PREDICTION AND RECOMMENDATION OF AIRBNB PROPERTY LISTINGS USING MACHINE LEARNING
par: Ganta, Nehemiah
Publié: (2025)

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

OPTIMIZING MACHINE LEARNING ALGORITHMS FOR HEART DISEASE PREDICTION
par: Dr. Shiksha Dubey*, et autres
Publié: (2025)

PREDICTION OF TBM PENETRATION RATE USING SUPPORT VECTOR MACHINE
par: ALIREZA AFRADI
Publié: (2020)

DEEPFAKE DETECTION USING MACHINE LEARNING
par: Patil, U. S., et autres
Publié: (2025)

A ROAD ACCIDENT PREDICTION MODEL USING DATA MINING TECHNIQUES
par: AJACCM
Publié: (2025)

295 | EARLY MORTALITY DLBCL PREDICTION WITH AN ENHANCED R‐IPI SCORE DEVELOPED USING AN ENSEMBLE MACHINE LEARNING MODEL
par: A. Muthiah, et autres
Publié: (2025)

ONLINE FRAUD DETECTION USING MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
par: K. Upendra, J. Sravan, A. Vishwa Teja, et autres
Publié: (2026)

ANAMOLY DETECTION IN IOT NETWORKS USING MACHINE LEARNING
par: Harsha N. S, et autres
Publié: (2025)

EARLY DIAGNOSIS OF HEPATIC DISORDERS USING MACHINE LEARNING
par: Ahmed Khoso,Hadia Rehman,Sasuee Rajper,Sarfaraz Shahani,Danish Rathor
Publié: (2025)

REVIEW PAPER ON AMAZON GO PREDECTION USING MACHINE LEARNING
par: Sujata Helonde, et autres
Publié: (2025)

USING MACHINE LEARNING TO ANALYZE AND PREDICT THE IMPACT OF EARTHQUAKES ON COMMUNITIES
par: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH & INNOVATIONS
Publié: (2025)

DISASTER MANAGEMENT SYSTEM USING MACHINE LEARNING ANALYTICAL RESEARCH
par: Ms. Urmila A. Chavan and Ms. Priya P. Shenoy
Publié: (2026)

CONVERSATIONAL BANKING CHATBOT USING NLP AND SUPERVISED MACHINE LEARNING MODEL
par: Barhaiya, Himanshu
Publié: (2025)

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

A SHORT VIDEO POPULARITY PREDICTION USING IOT AND DEEP LEARNING
par: ajmimc
Publié: (2026)

A STUDY ON FINANCIAL EFFICENCY OF TATA STEEL COMPANY, HYDERABAD
par: ijesat
Publié: (2025)

INFORMATION EXCHANGE FRAMEWORK TO ENHANCE CLOUD STORAGE SAFETY IN THE PERIOD OF MASSIVE DATA
par: ijesat
Publié: (2025)

ANALYZING THE ROLE OF BRAND LOGOS IN PRODUCT BRANDING: SPECIAL REFERENCE TO APPLE INC.
par: ijesat
Publié: (2025)

Early Detection of Autism in Children for Preventative Care using Deep Learning
par: ijesat
Publié: (2025)

SMART BMS-BASED EV VEHICLE MONITORING SYSTEM
par: ijesat
Publié: (2026)

INCIDENT RESPONSE AUTOMATION
par: ijesat
Publié: (2026)

SOCIAL ISSUES IN INDIA: CURRENT TRENDS AND ANALYSIS
par: ijesat
Publié: (2022)

HIERARCHICAL DDOS DETECTION AND RESPONSE IN IOT USING STATEFUL SDN AND MACHINE LEARNING
par: IJRSAT - International Journal for Research In Science & Advanced Technologies
Publié: (2025)

A HYBRID FUZZY MACHINE LEARNING FRAMEWORK FOR CRIME PREDICTION IN DATA SCARCE ENVIRONMENTS: APPLICATION TO QUETTA DIVISION, BALOCHISTAN
par: Shaista Sarwar,Noor Ahmed,Muhammad Dawood,Naseer Ahmed
Publié: (2025)

A NOVEL IMAGE-INVARIANT FEATURE EXTRACTION USING SLIDING WINDOW FOR MACHINE LEARNING
par: Journal of Theoretical and Applied Information Technology
Publié: (2025)

APPROACHES FOR MACHINE LEARNING IN FINANCE
par: Shubham Shukla
Publié: (2020)

SIMULATING AND ANALYZING SIGNATURE-BASED NETWORK INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING TECHNIQUES
par: Issah, Peter Paul, et autres
Publié: (2022)

AUTOMATED DETECTION OF SWAHILI SCAM MESSAGES IN TANZANIA USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING MODELS
par: Gaudance Stanslaus Tesha
Publié: (2026)

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

ENVIRONMENTAL FRAGILITY BY MACHINE LEARNING ALGORITHMS
par:
Publié: (2022)

STATISTICAL METHODS FOR BIG DATA AND MACHINE LEARNING
par: DR. KOUSHIK MANDAL, et autres
Publié: (2025)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DRUG DESIGN
par: Aleena, et autres
Publié: (2025)

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

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

IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM
par: Shokhrukh Sariyev
Publié: (2025)

MACHINE LEARNING-BASED DOWNSCALING OF CLIMATE MODELS USING REMOTE SENSING AND GIS DATA FOR HIGH-RESOLUTION ATMOSPHERIC FORECASTING
par: Syed Hashim Abbas, Wasif Ali Soomro, Shakir Ali
Publié: (2026)

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