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

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Shadman, Samin
Müşterek Yazar:	Supervised by Maj Md Abdul Wahed (Instructor Class B , Dept. of EECE, MIST, Dhaka)
Materyal Türü:	Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Dhaka : EECE DEPT. MIST, c2026.
Konular:	Electrical, Electronic and Communication Engineering. This Thesis Paper of EECE in BSc Program.
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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