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PAST ISSUE
Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited. - And then we will have a table
Volume 8 Issue 02
| S.No. | Title and Authors | PageNo. | Download |
|---|---|---|---|
| 1 |
CLOTHING FASHION IMAGE GENERATION FROM TEXT USING ARTIFICIAL INTELLIGENCE |
01-08 | 
|
| 2 |
RELEVANCE OF BIG DATA IN BUSINESS |
09-15 |
|
| 3 |
DEPRESSION DETECTION MODEL USINGWORD AND SENTENCE EMBEDDING WITH DIFFERENT CLASSIFIERS |
16-26 |
|
| 4 |
PRODUCT TRACKING AND FAKE PRODUCT IDENTIFICATION USING BLOCKCHAIN |
27-36 |
|
| 5 |
MACHINE LEARNING BASED FAULTY BEARING DIAGNOSIS IN CNC MACHINE |
37-41 |
|
| 6 |
MOOD PLAYER: EMOTION BASED MUSICRECOMMENDATION SYSTEM |
42-46 |
|
| 7 |
SURVEY ON COMPREHENSIVE TECHNIQUES OF TEXT DATA AUGMENTATION |
47-56 |
|
| 8 |
IWEEWS: AN INTELLIGENT WASTE EXTRACTOR FOR EFFICIENT WASTE SEGREGATION BY USING DEEP LEARNING TECHNIQUE |
57-69 |
|
| 9 |
VEHICLE DETECTION AND TRACKING SYSTEM |
70-73 |
|
| 10 |
EMOTION RECOGNITION USING EXPLICIT FEATURE EXTRACTION METHOD |
74-80 |
|
| 11 |
A SURVEY ON ANOMALOUS MOTION DETECTION IN VIDEO DATA |
81-87 |
|
| 12 |
ANALYSIS OF WEAPON AND FIRE DETECTION ON DIFFERENT DATASETS IN ATMs |
88-92 |
|
| 13 |
FOREIGN CURRENCY EXCHANGE AT ATM |
93-100 |
|
| 14 |
COVID-19 SEVERITY PREDICTION USING DEEP LEARNING MODELS – COMPARATIVE STUDY |
101-106 |
|
| 15 |
HOW EFFECTIVE IS AI IN DIGITAL MARKETING |
107-112 |
|
| 16 |
MOVIE RECOMMENDER SYSTEM USING MACHINE LEARNING |
113-122 |
|
| 17 |
IDENTIFICATION OF MONUMENTS FROM AERIAL IMAGES USING DEEP LEARNING TECHNIQUES |
123-129 |
|
| 18 |
SINGLE AXIS SOLAR TRACKING SYSTEM |
130-137 |
|
| 19 |
AN OVERVIEW OF NANOSENSORS AND THEIR POTENTIAL APPLICATIONS : PERSPECTIVES AND PROSPECTS |
138-146 |
|
| 20 |
ASSISTIVE WALKING STICK FOR VISUALLY IMPAIRED |
147-153 |
|
| 21 |
COMPARATIVE ANALYSIS OF AIRFOIL SELECTION FOR MINIATURE AIR VEHICLE |
154-159 |
|
| 22 |
IMAGE FORGERY DETECTION |
160-163 |
|
| 23 |
SPAM EMAIL DETECTION USING DIFFERENT CLASSIFIERS |
164-168 |
|
| 24 |
AMERICAN SIGN LANGUAGE (ASL) RECOGNITION USING OPENCV |
169-173 |
|
| 25 |
DATA SECURITY AND DATA BREACHES |
174-177 |
|
| 26 |
A SURVEY ON AUTOMATIC CODE GENERATION USING IMAGE MOCK-UPS |
178-185 |
|
| 27 |
SKIN DISEASE DETECTION USING PYTHON AND DEEP LEARNING |
186-191 |
|
| 28 |
EMERGING CONCEPT OF INTERNET OF BEHAVIOUR (IOB) |
192-194 |
|
| 29 |
DATASET TO MODEL: OPTIMIZATION OF IMAGE CLASSIFICATION WITH NEURAL NETWORKS |
195-202 |
|
| 30 |
UPSCALING LIVING STANDARDS WITH INTERNET OF THINGS |
203-205 |
|
| 31 |
REVIEW ON THE EMERGING DEVELOPMENTS IN AI: ROBOTICS |
206-210 |
|
| 32 |
STUDY AND DETERMINATION OF EYE ASPECT RATIO USING DATA MINING |
211-215 |
|
| 33 |
Learning Graph Databases: Neo4j an overview |
216-219 |
|
| 34 |
A REVIEW ON ROLE OF AI IN DAMAGE ASSESSMENT INLAMINATED COMPOSITE STRUCTURES |
220-229 |
|
| 35 |
AN IN-DEPTH STUDY OF LANE DETECTION FOR AUTONOMOUS CARS USING COMPUTER VISION TECHNIQUES |
230-242 |
|
| 36 |
ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DATA SCIENCE ENABLED SUPPLY CHAIN MANAGEMENT |
243-247 |
|
| 37 |
PNEUMONIA AND HEART DISEASE DETECTION USING MACHINE LEARNING |
248-256 |
|
| 38 |
COLLEGE EVENT MANAGEMENT SYSTEM USING WEB TECHNOLOGIES |
257-260 |
|
| 39 |
CUSTOMER BEHAVIOUR PREDICTION FOR ONLINE SHOPPING: A REVIEW |
261-269 |
|
| 40 |
EXPLORATION OF GEOLOGICAL AREAS USING DRONE SIMULATION |
270-273 |
|
| 41 |
APPLYING MACHINE LEARNING AND OBJECT DETECTION FORIDENTIFYING TRAFFIC RULE VIOLATION: OVER SPEEDING |
274-279 |
|
| 42 |
FAKE NEWS DETECTION USING MACHINE LEARNING |
280-283 |
|
| 43 |
DESIGN AND IMPLEMENTATION OF ECOMMERCE WEB APPLICATION USING MERN STACK AND DATA SCIENCE |
284-290 |
|
| 44 |
THE TRANSITION FROM ECOMMERCE TO M COMMERCE |
291-296 |
|
| 45 |
MACHINE LEARNING MODEL FOR HEART DISEASE PREDICITIONUSING TKINTER FOR GRAPHIC USER INTERFACE |
297-302 |
|
| 46 |
A REVIEW ON SIGN GLOVES FOR DUMB AND DEAF PEOPLES USING ESP32 |
303-308 |
|
| 47 |
YIELD ENHANCER USING MACHINE LEARNING |
309-312 |
|
| 48 |
ANALYSIS OF TRANSFORMER-DEEP NEURAL NETWORK USING DEEP LEARNING |
313-319 |
|
| 49 |
A REVIEW ON DROWSY DRIVING DETECTION DEVICE USING ARDUINO AND EYE-BLINK SENSOR |
320-323 |
|
| 50 |
SARS-COV-2: THE SECONDARY EXTREMITY SUMMIT OF WHO |
324-332 |
|
| 51 |
SARS-COV-2: THE 2019 NOVEL CORONAVIRUS |
333-339 |
|
| 52 |
THERMAL COMFORT ASSESSMENT FOR ADOPTING CONTROL STRATEGIES IN ATRIUM BUILDINGS |
340-347 |
|
| 53 |
VIRTUAL ASSISTANT USING ARTIFICIAL INTELLIGENCE |
348-352 |
|
| 54 |
BODY DISCOURSES IN ATWOOD’S THE HANDMAID’S TALE |
353-357 |
|