Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
A dependable hybrid machine learning model for network intrusion detection
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …
security. There are several detection mechanisms where anomaly-based automated …
[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …
collaborate, and communicate positively. The same platform can be extended to a fabricated …
[HTML][HTML] DeepCrop: Deep learning-based crop disease prediction with web application
MM Islam, MAA Adil, MA Talukder… - Journal of Agriculture …, 2023 - Elsevier
Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …
disease identification is one of the most important aspects of maintaining an agriculturally …
A hybrid dependable deep feature extraction and ensemble-based machine learning approach for breast cancer detection
Breast cancer is a prevalent and life-threatening disease that requires effective detection
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS)
play a critical role in protecting interconnected networks by detecting malicious actors and …
play a critical role in protecting interconnected networks by detecting malicious actors and …
[HTML][HTML] A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Cotton is known as 'white gold'in the agricultural industry. Agriculture is the primary source of
economic income in Bangladesh and the country's economy is heavily dependent on …
economic income in Bangladesh and the country's economy is heavily dependent on …
A robust and clinically applicable deep learning model for early detection of Alzheimer's
Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that
causes irreversible memory loss by destroying brain cells. People die because there is no …
causes irreversible memory loss by destroying brain cells. People die because there is no …
[HTML][HTML] An ensemble machine learning based bank loan approval predictions system with a smart application
Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …
deserving applicants who will reliably repay loans presents an ongoing challenge …
Machine Learning Approaches to 3D Models for Drug Screening
VA da Silva, R Sharma, E Shteinberg, V Patel… - Biomedical Materials & …, 2023 - Springer
The creation of precise, functional 3D tissues can enable effective drug screening as well as
advancements in regenerative medicine. However, the inherent limitations present during …
advancements in regenerative medicine. However, the inherent limitations present during …