[HTML][HTML] Object detection using YOLO: Challenges, architectural successors, datasets and applications
Object detection is one of the predominant and challenging problems in computer vision.
Over the decade, with the expeditious evolution of deep learning, researchers have …
Over the decade, with the expeditious evolution of deep learning, researchers have …
Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion
R Thangaraj, S Anandamurugan, P Pandiyan… - Journal of Plant …, 2022 - Springer
Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …
agricultural productivity. In the conventional technique, human experts in the field of …
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …
death cases and affected all sectors of human life. With gradual progression of time, COVID …
Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges
PKR Maddikunta, S Hakak, M Alazab… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
In the next few years, smart farming will reach each and every nook of the world. The
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
prospects of using unmanned aerial vehicles (UAV) for smart farming are immense …
VGG-ICNN: A Lightweight CNN model for crop disease identification
Crop diseases cause a substantial loss in the quantum and quality of agricultural production.
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …
[HTML][HTML] Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
Agriculture is crucial to the economic prosperity and development of India. Plant diseases
can have a devastating influence towards food safety and a considerable loss in the …
can have a devastating influence towards food safety and a considerable loss in the …
[HTML][HTML] Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
Plant diseases often reduce crop yield and product quality; therefore, plant disease
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
diagnosis plays a vital role in farmers' management decisions. Visual crop inspections by …
[HTML][HTML] Hand gesture classification using a novel CNN-crow search algorithm
TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …
interactive computational systems. The studies in HCI emphasize on system use, creation of …
[HTML][HTML] Addressing binary classification over class imbalanced clinical datasets using computationally intelligent techniques
Nowadays, healthcare is the prime need of every human being in the world, and clinical
datasets play an important role in developing an intelligent healthcare system for monitoring …
datasets play an important role in developing an intelligent healthcare system for monitoring …
[HTML][HTML] BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …
subpar living conditions for a patient as they have to go through expensive and painful …