[HTML][HTML] Artificial intelligence (AI) in pharmacy: an overview of innovations
MA Raza, S Aziz, M Noreen, A Saeed… - INNOVATIONS in …, 2022 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) emerged as an intervention for data and number-related problems.
This breakthrough has led to several technological advancements in virtually all fields from …
This breakthrough has led to several technological advancements in virtually all fields from …
[PDF][PDF] Artificial intelligence algorithm with SVM classification using dermascopic images for melanoma diagnosis
V Balasubramaniam - Journal of Artificial Intelligence and …, 2021 - scholar.archive.org
Of all suspicious pigmented skin lesions considered for analysis, a large portion is often
benign. The pressure of pathology services and secondary care must be reduced …
benign. The pressure of pathology services and secondary care must be reduced …
Satellite and scene image classification based on transfer learning and fine tuning of ResNet50
Image classification has gained lot of attention due to its application in different computer
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
Artificial intelligence applications in project scheduling: a systematic review, bibliometric analysis, and prospects for future research
The availability of digital infrastructures and the fast-paced development of accompanying
revolutionary technologies have triggered an unprecedented reliance on Artificial …
revolutionary technologies have triggered an unprecedented reliance on Artificial …
Color space image as a factor in the choice of its processing technology
COLOR SPACE IMAGE AS A FACTOR IN THE CHOICE OF ITS PROCESSING
TECHNOLOGY Page 1 PROBLEMS OF MODERN SCIENCE AND PRACTICE 389 COLOR …
TECHNOLOGY Page 1 PROBLEMS OF MODERN SCIENCE AND PRACTICE 389 COLOR …
Brain tumor diagnosis using image fusion and deep learning
Deep learning has developed into a very active and practical research tool that is applied in
many domains of image processing. Pre-processing is an enhancement of the picture data …
many domains of image processing. Pre-processing is an enhancement of the picture data …
Recognition of plant diseases using convolutional neural network
G Madhulatha, O Ramadevi - … conference on I-SMAC (IoT in …, 2020 - ieeexplore.ieee.org
Plant diseases can cause a reduction in the agricultural product quality and production. This
is very vital to find out the plant diseases at an early stage for global health and wellbeing …
is very vital to find out the plant diseases at an early stage for global health and wellbeing …
An implementation and analysis of deep learning models for the detection of wheat rust disease
Wheat is one of the essential food crops all over the world. In India, it is the largest growing
winter cereal crop that contributes almost 14% to the world's food production. This crop is …
winter cereal crop that contributes almost 14% to the world's food production. This crop is …
Plant disease detection using web application by neural network
The fundamental necessity for each country is agricultural products. This affects agricultural
productivity in the country and its financial opportunities if plants are afflicted with illnesses …
productivity in the country and its financial opportunities if plants are afflicted with illnesses …
A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging
Fruit is an essential element of human life and a significant gain for the agriculture sector.
Guava is a common fruit found in different countries. It is considered the fourth primary fruit in …
Guava is a common fruit found in different countries. It is considered the fourth primary fruit in …