Statistical analysis of design aspects of various YOLO-based deep learning models for object detection

U Sirisha, SP Praveen, PN Srinivasu… - International Journal of …, 2023 - Springer
Object detection is a critical and complex problem in computer vision, and deep neural
networks have significantly enhanced their performance in the last decade. There are two …

Artificial intelligence-driven biomedical genomics

K Guo, M Wu, Z Soo, Y Yang, Y Zhang, Q Zhang… - Knowledge-Based …, 2023 - Elsevier
As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …

[HTML][HTML] TBC-YOLOv7: a refined YOLOv7-based algorithm for tea bud grading detection

S Wang, D Wu, X Zheng - Frontiers in Plant Science, 2023 - frontiersin.org
Introduction Accurate grading identification of tea buds is a prerequisite for automated tea-
picking based on machine vision system. However, current target detection algorithms face …

A weighted ensemble transfer learning approach for melanoma classification from skin lesion images

H Meswal, D Kumar, A Gupta, S Roy - Multimedia Tools and Applications, 2024 - Springer
Cancer is the foremost cause of mortality among humans, as per statistics and accurate
classification of the lesion is critical for treating skin cancer at an early stage. Identification of …

An Interpretable Approach with Explainable AI for Heart Stroke Prediction

PN Srinivasu, U Sirisha, K Sandeep, SP Praveen… - Diagnostics, 2024 - mdpi.com
Heart strokes are a significant global health concern, profoundly affecting the wellbeing of
the population. Many research endeavors have focused on developing predictive models for …

Computer-aided system for bleeding detection in wce images based on cnn-gru network

S Lafraxo, M El Ansari, L Koutti - Multimedia Tools and Applications, 2024 - Springer
Wireless capsule endoscopy (WCE) is a non-invasive video technique used to investigate
gastrointestinal diseases such as hemorrhage, ulcer, and polyp. Automatic detection …

A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications

X Li, Y Zhang, J Jin, F Sun, N Li, S Liang - Plos one, 2023 - journals.plos.org
Recently, a lot of Chinese patients consult treatment plans through social networking
platforms, but the Chinese medical text contains rich information, including a large number …

Improved EfficientNet for corn disease identification

J Cai, R Pan, J Lin, J Liu, L Zhang, X Wen… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Corn is one of the world's essential crops, and the presence of corn diseases
significantly affects both the yield and quality of corn. Accurate identification of corn diseases …

Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion Detection: A Deep Learning Approach

SP Praveen, S Sindhura, PN Srinivasu… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Network Intrusion Detection Systems have become more popular as cloud technologies
have become more widely adopted. This paper presents a network intrusion detection …

XAI‐driven model for crop recommender system for use in precision agriculture

P Naga Srinivasu, MF Ijaz… - Computational …, 2024 - Wiley Online Library
Agriculture serves as the predominant driver of a country's economy, constituting the largest
share of the nation's manpower. Most farmers are facing a problem in choosing the most …