Samankaltaisia teoksia: ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /
- DESIGN AND ANALYSIS OF ORIENTATION-INDEPENDENT CHIPLESS RFID SENSORS /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
- DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
- IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
- BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
Aihe: Electrical, Electronic and Communication Engineering
- INTERPOLATION BASED ADAPTIVE REVERSIBLE DATA HIDING FOR DIGITAL IMAGE APPLICATIONS /
- ENERGY EFFICIENT OPERATIONS OF COMP BASED LTE-A CELLULAR NETWORKS WITH HYBERID POWER SUPPLIES /
- DESIGN AND CHARACTERIZATION OF BULK AND SOL FINFETS /
- BASE TRANSIT OF A GRADED BANE ALyGa1-yAs HBT USING THE ANALYTICAL MODEL DEVELOPED FOR SIGE DEVICE WITH FOR GAUSSIAN DOPED BASE /
- THE EARLY VOLTAGE AND CURRENT GAIN OF IN GA AS DOUBLE HETERO JUNCTION BIPOLAR TRANSISTOR /
- EFFECT OF POLARIZATION MODE DISPERSION (PMD) IN DIFFERENT CORE SHAPES AND BIT ERROR RATE (BER) PERFORMANCE IN FIBER OPTIC COMMUNICATION /
Aihe: This Thesis paper of EECE in M.Sc. program
- MILLIMETER WAVE ON-CHIP DIELECTRIC RESONATOR ANTENNAS FOR ENHANCED BODY-CENTRIC WIRELESS COMMUNICATION /
- DESIGN AND PERFORMANCE ANALYSIS OF LOW POWER LOW NOISE DUAL GATED GRAPHENE-MOSFET BASED VCO FOR WIRELESS APPLICATIONS /
- ENHANCED DETECTION AND ANOMALY IDENTIFICATION IN CHIPLESS RFID SYSTEMS USING SCALABLE MACHINE LEARNING MODELS /