| Article# |
Article Title & Authors |
Pdf |
Page |
| 1 |
HYDEST-IOT: A HYBRID DEEP LEARNING FRAMEWORK FOR EFFICIENT INTRUSION DETECTION IN RESOURCE-CONSTRAINED IOT NETWORKS
A. P. Gopu and S. Gokulraj |
|
104_109 |
| 2 |
APSE-NET: DEEP LEARNING BASED APPLE LEAF DISEASE DETECTION VIA DEGONET AND GSACMNET
Sarika Tanajirao Thorat and Rahul Kumar Budania |
|
110-116 |
| 3 |
REG NET BASED PATIENT HEALTH MONITORING AND CLASSIFICATION SYSTEM USING IOT SENSORS AND SECURE DATA PROCESSING
R. Pradeebha and A. Ahilan |
|
117_122 |
| 4 |
TOMTO-NET: TOMATO LEAF DISEASE DETECTION USING DEEP LEARNING-BASED DUAL-ATTENTION BASED MOBILE NETWORK
Sushma Sunil Bhosle and Prasad Baban Dhore |
|
123_129 |
| 5 |
REAL-TIME IOT HEALTHCARE MONITORING USING WEARABLE SENSORS AND HYBRID DEEP LEARNING MODELS
Neeta Suryakant Brahme and Jameer Kotwal |
|
130_136 |
