Kanavat - A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER / :: Library Catalog

Samankaltaisia teoksia: A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /

Pikavilkaisu
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Pikavilkaisu
DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
Pikavilkaisu
Deep learning /
Pikavilkaisu
ADAPTIVE AND AGGREGATED MODEL FUSION FOR FEDERATED INTRUSION DETECTION IN HETEROGENEOUS EDGE NETWORKS /
Pikavilkaisu
A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
Pikavilkaisu
Deep learning with python /
Pikavilkaisu
LSTM-BASED DEEP LEARNING MODEL FOR SOLAR IRRADIANCE PREDICTION ACROSS DIVERSE CLIMATE ZONES /
Pikavilkaisu
IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Pikavilkaisu
RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
Pikavilkaisu
FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Pikavilkaisu
Learning to live with statistics : from concept to practice /
Pikavilkaisu
A COMPUTATIONALLY EFFICIENT DEEP LEARNING FRAMEWORK FOR SLEEP APNEA DETECTION /
Pikavilkaisu
A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
Pikavilkaisu
DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
Pikavilkaisu
EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
Pikavilkaisu
The elements of statistical learning : data mining,inference and prediction /
Pikavilkaisu
Art across time /
Pikavilkaisu
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS
Pikavilkaisu
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Pikavilkaisu
An Introduction to Statistical Learning with Applications in R /
Pikavilkaisu
COMPARATIVE ANALYSIS OF MACHINE LEARNING CLASSIFICATION MODELS FOR FRAUDULENT PAYMENT TRASACTION DETECTION/
Pikavilkaisu
EXAMINEE VERIFICATION SYSTEM WITH DEEP LEARNING TECHNOLOGY /
Pikavilkaisu
COMPARATIVE ANALYSIS OF SEA-LEVEL PREDICTION IN COASTAL REGIONS BANGLADESH USING MACHINE LEARNING, DEEP LEARNING AND TIME SERIES ANALISIS /
Pikavilkaisu
TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /

Aihe: Electrical, Electronic and Communication Engineering.

Aihe: This Thesis Paper of EECE in BSc Program.

Tekijä: Shadman, Samin

Pikavilkaisu
A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /

Tekijä: Supervised by Maj Md Abdul Wahed