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Bibliografiske detaljer
Hovedforfatter:	Vokhidjon Kakhramonov
Format:	Recurso digital
Sprog:
Udgivet:	Zenodo 2025
Online adgang:	https://doi.org/10.5281/zenodo.15762166
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

AMUDARYA RIVER BASIN IN CENTRAL ASIA
af: Vokhidjon Kakhramonov
Udgivet: (2025)

SIMULATION OF URBAN GROWTH: A CASE STUDY FOR CURITIBA CITY, BRAZIL
af: Eliana Vieira de Freitas
Udgivet: (2021)

ELECTRICITY DEMAND FORECASTING USING A SARIMAMULTIPLICATIVE SINGLE NEURON HYBRID MODEL
af: JUAN DAVID VELÁSQUEZ HENAO
Udgivet: (2013)

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

FORECASTING TOURISM DEMAND WITH ARTIFICIAL NEURAL NETWORKS
af: Paula Odete Fernandes
Udgivet: (2011)

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

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

ROAD DAMAGE PREDICTION USING MACHINE LEARNING
af: ijesat
Udgivet: (2025)

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

ELECTRICITY PRICE FORECASTING USING MONTE CARLO SIMULATION: THE CASE OF LITHUANIA
af: Andrejus Ngujen Tat
Udgivet: (2018)

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

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

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

WATER RESOURCES AND URBAN PLANNING: THE CASE OF A COASTAL AREA IN BRAZIL
af: Iana A. A. Rufino
Udgivet: (2009)

REVIEW PAPER ON AMAZON GO PREDECTION USING MACHINE LEARNING
af: Sujata Helonde, et al.
Udgivet: (2025)

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

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

ANALYZING THE POSTPONEMENT OF TIME PRODUCTION SYSTEMS IN MAKE-TO-STOCK AND SEASONAL DEMAND
af: Paulo César Chagas Rodrigues
Udgivet: (2011)

STOCKS MANAGEMENT THROUGH APPLICATION OF DEMAND FORECAST METHODS: A CASE STUDY
af: Lucas Lopes Filholino Rodrigues
Udgivet: (2016)

MANAGEMENT PRACTICES AND INFLUENCES ON IT ARCHITECTURE DECISIONS: A CASE STUDY IN A TELECOM COMPANY
af: Chen Wen Hsing
Udgivet: (2012)

LANGUAGE LEARNING IS THE DEMAND OF THE TIME
af: Jumaboyeva Rayhona
Udgivet: (2025)

AN IN-DEPTH STUDY OF MACHINE LEARNING AND AI APPLICATIONS IN EDGE COMPUTING
af: Dr. R. Arivukkodi, et al.
Udgivet: (2026)

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

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

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

ACCIDENT SEVERITY PREDICTION FOR ROAD TRANSPORTATION SYSTEM USING MACHINE LEARNING
af: UMEJURU DANIEL, et al.
Udgivet: (2026)

A COMPARATIVE STUDY OF FAKE NEWS DETECTION BETWEEN MACHINE LEARNING AND DEEP LEARNING APPROACHES
af: Vennam Ratna Kumari,Dr.Mula Veera
Udgivet: (2025)

DEL EDITOR. FREIGHT DEMAND ESTIMATION FROM SECONDARY SOURCES. CASE STUDY: MANHATTAN
af: JOSÉ HOLGUÍN-VERAS
Udgivet: (2013)

SIZING METHOD FOR STORMWATER HAR VESTING TANKS USING DAILY RESOLUTION RAINFALL AND WATER DEMAND DATA SETS
af: Sandra Galarza-Molina
Udgivet: (2017)

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

SUBSIDENCE MONITORING USING THE DINSAR TECHNIQUE ALONG THE COASTAL REGION OF NIGERIA: A CASE STUDY OF LAGOS CITY, LAGOS STATE
af: Dodo, Joseph Danasabe, et al.
Udgivet: (2026)

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

FACTORS FAVORING AMARANTH CONSUMPTION IN MEXICO CITY: CASE STUDY XOCHIMILCO
af: Alma Velia Ayala-Garay
Udgivet: (2020)

TACTICS OF CHOOSING DIAGNOSTIC METHODS FOR PATIENTS WITH TEMPOROMANDIBULAR JOINT DEFORMITY
af: Uktam Ulmasovich Kakhramonov
Udgivet: (2026)

OREGON
af: STEIMAN, HARVEY
Udgivet: (2007)

THE CITY OF ADDIS ABABA FROM ‘FOREST CITY’ TO ‘URBAN HEAT ISLAND’: ASSESSMENT OF URBAN GREEN SPACE DYNAMICS
af: Mathias Tesfaye Abebe
Udgivet: (2016)

DEMAND-SIDE MANAGEMENT STRATEGIES BASED ON ENERGY KEY PERFORMANCE INDICATORS IN REAL-TIME: CASE STUDY
af: Sandra Téllez-Gutiérrez
Udgivet: (2020)

APPROACHES FOR MACHINE LEARNING IN FINANCE
af: Shubham Shukla
Udgivet: (2020)

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

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