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Podrobná bibliografie
Hlavní autor:	Vennam Ratna Kumari,Dr.Mula Veera
Médium:	Recurso digital
Jazyk:
Vydáno:	Zenodo 2025
On-line přístup:	https://doi.org/10.5281/zenodo.14948680
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

ENHANCING MULTIMODAL FAKE NEWS DETECTION: OPTIMIZED HIERARCHICAL DEEP LEARNING VIA ADAPTIVE EVOLUTIONARY ALGORITHMS
Autor: Sheikh Abdul Wahab,Atif Iftikhar,Talha Ahmed,Hasnain Tahir,Wahab Ali
Vydáno: (2025)

ONLINE FRAUD DETECTION USING MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
Autor: K. Upendra, J. Sravan, A. Vishwa Teja, a další
Vydáno: (2026)

MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR LARGE-SCALE DATA ANALYTICS AND INTELLIGENT DECISION SUPPORT SYSTEMS
Autor: Syed Wajahat Hussain,Waqar Hussain,Ameer Jan
Vydáno: (2026)

APPROACHES FOR MACHINE LEARNING IN FINANCE
Autor: Shubham Shukla
Vydáno: (2020)

A DEEP LEARNING BASED EXPERIMENT ON FOREST WILDFIRE DETECTION IN MACHINE VISION COURSE
Autor: AJMIMC
Vydáno: (2026)

DEEPFAKE DETECTION USING MACHINE LEARNING
Autor: Patil, U. S., a další
Vydáno: (2025)

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

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

A COMPARATIVE ANALYSIS OF MULTIPLE APPROACHES MACHINE LEARNING FOR PREDICTING AND ANALYSING URINE PH AMOUNT
Autor: Prajna Bhunia, a další
Vydáno: (2023)

PHISHING WEBSITE DETECTION USING DEEP LEARNING
Autor: K.RISHIKA REDDY, a další
Vydáno: (2025)

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

DEEP LEARNING-BASED CRACK DETECTION AND STRUCTURAL DEFECT MAPPING IN REINFORCED CONCRETE SYSTEMS
Autor: Dr. SriSudha Garugu, Dr. Tadi Chandrasekhar, Vikas Gulati, Dr. Aasheesh Raizada, Anup Saxena, Dr. Vimal Bibhu, Ranjan Banerjee
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ANAMOLY DETECTION IN IOT NETWORKS USING MACHINE LEARNING
Autor: Harsha N. S, a další
Vydáno: (2025)

AN IN-DEPTH STUDY OF MACHINE LEARNING AND AI APPLICATIONS IN EDGE COMPUTING
Autor: Dr. R. Arivukkodi, a další
Vydáno: (2026)

COMPARATIVE ANALYSIS OF DEEP LEARNING MODELS FOR SENTIMENT ANALYSIS
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STUDY AND ANALYSIS OF DEEP LEARNING FOR IMAGE RESTORATION
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OPTIMIZING MACHINE LEARNING ALGORITHMS FOR HEART DISEASE PREDICTION
Autor: Dr. Shiksha Dubey*, a další
Vydáno: (2025)

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

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

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

FEATURE-BASED MACHINE LEARNING FRAMEWORK FOR THE DETECTION AND CLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA
Autor: 1Maryam Bilal, *2Fahima Tahir, 3Wajeeha Malik, 4Rabia Javed, 5Huma Tauseef, 6Khansa Aatif
Vydáno: (2025)

STATISTICAL AND MACHINE LEARNING APPROACHES FOR DETECTING ANOMALIES IN LARGE-VOLUME NETWORK TRAFFIC
Autor: Ozodbek Rakhmonov
Vydáno: (2025)

HYBRID MACHINE LEARNING MODEL FOR EFFICIENT BOTNET ATTACK DETECTION IN IOT ENVIRONMENT
Autor: 1DR.P. DAYAKAR, 2VEMULA SHIVATHMIKA, 3ESLAVATH RAHUL, 4YANNA PRANEETH, 5SHIVA SAI
Vydáno: (2026)

DEVELOPING AI MODELS FOR URDU AND REGIONAL LANGUAGE PROCESSING: SENTIMENT ANALYSIS AND FAKE NEWS DETECTION IN PAKISTAN'S SOCIAL MEDIA
Autor: Dr. Mumtaz Ali Shah,Naila Nawaz,Nageena,Hina Gul,Muhammad Shahbaz
Vydáno: (2026)

REVOLUTIONIZING AGRICULTURE: MACHINE AND DEEP LEARNING SOLUTIONS FOR ENHANCED CROP QUALITY AND WEED CONTROL
Autor: AJMIMC
Vydáno: (2026)

RICE GUARD: A HYBRID DEEP LEARNING APPROACH FOR RICE LEAF DISEASE DETECTION
Autor: Sujal N. Bolke, Prathamesh P. Kumbhar, Nilesh S. Kulkarni and Laxman G. Mulik
Vydáno: (2026)

BRIDGING THE MATH DIVIDE: EFFECTIVE APPROACHES FOR EQUITABLE LEARNING
Autor: Dr. Raza, Aamir Khalid
Vydáno: (2025)

A SURVEY OF MACHINE LEARNING MODELS FOR INFRASTRUCTURE RESILIENCE IN FINTECH APPLICATIONS
Autor: Patel, Dr. Jvalantkumar Kanaiyalal
Vydáno: (2025)

SIMULATING AND ANALYZING SIGNATURE-BASED NETWORK INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING TECHNIQUES
Autor: Issah, Peter Paul, a další
Vydáno: (2022)

REAL TIME VIDEO-BASED SURVEILLANCE DETECTION SYSTEM USING DEEP LEARNING FOR SECURITY APPLICATIONS
Autor: IJESAT
Vydáno: (2026)

AI AND DYNAMIC THERMAL COMFORT CONTROL: A SYNTHESIS OF MACHINE LEARNING-BASED APPROACHES FOR ENERGY OPTIMIZATION
Autor: AVCI, Ali Berkay
Vydáno: (2025)

LEARNING APPROACHES BY KOLB, HERRMANN, AND GARDNER IN THE TEACHING-LEARNING PROCESS
Autor: Puente Balcázar, Reyes Guadalupe, a další
Vydáno: (2025)

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

ENVIRONMENTAL FRAGILITY BY MACHINE LEARNING ALGORITHMS
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Vydáno: (2022)

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR PERSONALIZED RECOMMENDER SYSTEMS USING DEEP LEARNING MODEL
Autor: Dr. Deepjyoti Roy, Prof. Dr. Rohini Pundalik Onkare, Muthumari, Amit S. Tiwari, Shah Rakesh Jagdishchandra, Amartya Ghosh, Dr. Nagendra Nath Giri
Vydáno: (2026)

PERCEPTIONS AND REACTIONS TO FAKE NEWS IN UNIVERSITY STUDENTS
Autor: Colina Vargas, Alejandra Mercedes, a další
Vydáno: (2024)

EDUCAÇÃO E FAKE NEWS : construindo convergências
Autor: Priscila Costa Santos
Vydáno: (2020)

FAKE NEWS AND INFORMATION PROFESSIONALS’ CODES OF ETHICS
Autor: Juan-José Boté-Vericad
Vydáno: (2020)

A MACHINE LEARNING FRAMEWORK FOR DETECTING MALICIOUS URLS IN IOT NETWORK TRAFFIC
Autor: 1Rahat Latif, *2Dr.Amnah Firdous, 3Muhammad Sajjad Yousaf, 4Muhammad Aamir
Vydáno: (2026)

STATISTICAL METHODS FOR BIG DATA AND MACHINE LEARNING
Autor: DR. KOUSHIK MANDAL, a další
Vydáno: (2025)