FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /

Kaydedildi:

Detaylı Bibliyografya
Yazar:	Dey, Samrat Kumar
Müşterek Yazar:	Supervised by Md. Mhbubur Rahman (Professor, Dept. of CSE, MIST.)
Materyal Türü:	Kitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Dhaka : CSE DEPT MIST , c 2018.
Konular:	Thesis paper of CSE in M.Sc Prog. Computer Science And Engineering.
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller: FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /

Hızlı Bakış
FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD
Hızlı Bakış
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Hızlı Bakış
DESIGNING SOFTWARE DEFINED RADIO (SDR) FOR SECURED MULTIMODE WIDEBAND OPERATION /
Hızlı Bakış
ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
Hızlı Bakış
A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
Hızlı Bakış
METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
Hızlı Bakış
Deep learning /
Hızlı Bakış
Bangla Character Recognitionusing Artiﬁcial Neural Network Step: FeatureSelection
Hızlı Bakış
FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Hızlı Bakış
DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
Hızlı Bakış
RETINAL OCT DISEASE DETECTION BY IMAGE-BASED DEEP LEARNING /
Hızlı Bakış
A COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR RAINFALL PREDICTION WITH FEATURE SELECTION AND HYPERPARAMETER TUNING /
Hızlı Bakış
BANGLA CHARACTER RECOGNITION USING ARTIFICAL NEURAL NETWORK STEP : FEATURE SELECTION /
Hızlı Bakış
Deep learning with python /
Hızlı Bakış
MACHINE LEARNING APPROACH TO SHOCK DETECTION IN COMPRESSIBLE FLOW OVER A WEDGE /
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
DEEP LEARNING APPROACH FOR VLASSIFICATION OF BLOOD AND DETECTION OF BLOOD RELATED DISEASE (LEUKEMIA) USING BLOOD SMEAR IMAGES /
Hızlı Bakış
Ground Improvement by Deep Vibratory Methods /
Hızlı Bakış
Analyzing the Performance of Deep Learning Models for Detecting Hate Speech on Social Media Platforms
Hızlı Bakış
VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION /
Hızlı Bakış
EXPLORING DEEP LEARNING ALGORITHMS FOR DETECTION AND PREDICTION OF WATER BODIES USING SATELLITE IMAGES /
Hızlı Bakış
A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
Hızlı Bakış
EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /