DETECTION OF MISSING REGIONS AND SELECTION OF K-MER LENGTHS FOR ALIGNMENT FREE PHYLOGENTIC ANALYSIS /

Tallennettuna:

Bibliografiset tiedot
Päätekijä:	Islam, Rubyeat
Yhteisötekijä:	Supervised by Assoc. Prof. Dr. Arif Hasan Rahman (Assoc. Prof. Dept of CSE, MIST.)
Aineistotyyppi:	Kirja
Kieli:	englanti
Julkaistu:	Dhaka : CSE DEPT. MIST, c2023.
Aiheet:	Computer Science & Engineering This Thesis Paper of CSE in M.Sc. Program.
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia: DETECTION OF MISSING REGIONS AND SELECTION OF K-MER LENGTHS FOR ALIGNMENT FREE PHYLOGENTIC ANALYSIS /

Pikavilkaisu
STUDY ON CONCENTRATION AND DISTRIBUTION OF URANIUM AND THORIUM IN SANDS OF POTENTIAL REGIONS OF BANGLADESH /
Pikavilkaisu
FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
Pikavilkaisu
ENERGY EFFICIENT CLUSTER HEAD SELECTION AND TDMA TIME ASSIGNMENT FOR WIRELESS SENSOR NETWORK /
Pikavilkaisu
DEVELOPMENT OF A GIS BASED MODEL TO EXPLORE SAFE WATER OPTIONS IN SOUTHERN COASTAL REGION /
Pikavilkaisu
EVALUATION OF RESILIENT MODULUS OF SUBGRADE SOIL IN SELECTED LOCATIONS OF BANGLADESH /
Pikavilkaisu
DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Pikavilkaisu
PENETRATION TEST PARAMETERS AND THEIR CORRELATIONS FOR SOILS FROM SELECTED LOCATIONS OF BANGLADESH /
Pikavilkaisu
AUTOMATIC ROI SELECTION FOR MULTI - MODAL MEDICAL IMAGES /
Pikavilkaisu
SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
Pikavilkaisu
The coming free /
Pikavilkaisu
SELECTION OF SUSTAINABLE AND ECROFRIENDLY PROTECTION SYSTEM ON DREDGED FILLED SANDY SOIL BY SLOPE STABILITY ANALYSIS /
Pikavilkaisu
ASSESSMENT OF EUTROPHICATION STATUS OF SELECTED LAKES OF DHAKA CITY USING GIS AND MACHINE LEARNING ALGORITHM /
Pikavilkaisu
ROAD SAFETY AUDITING APPROACH IN ASSESSING SAFETY HAZARDS OF A SELECTED HIGHWAY SECTION OF BANGLADESH /
Pikavilkaisu
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Pikavilkaisu
HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
Pikavilkaisu
MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
Pikavilkaisu
DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
Pikavilkaisu
METAHEURISTIC SEARCH-BASED FEATURE SET SELECTION TECHNIQUES FOR CREDIT CARD FRAUD DETECTION /
Pikavilkaisu
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Pikavilkaisu
BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
Pikavilkaisu
IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Pikavilkaisu
DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
Pikavilkaisu
DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
Pikavilkaisu
MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /