A novel optimized machine learning approach with texture rectified cross-attention based transformer for COVID-19 detection
CBJ Schafftar, A Radhakrishnan, CE Prema - … Signal Processing and …, 2025 - Elsevier
Distinguishing COVID-19 from other acute infectious pneumonia types remains a significant
challenge, often complicated by overlap** symptoms and radiological features. This paper …
challenge, often complicated by overlap** symptoms and radiological features. This paper …
Rat swarm political optimizer based deep learning approach for lung lobe segmentation and lung cancer detection using CT images
Lung lobe segmentation and lung cancer detection are crucial areas in medical imaging and
diagnostics. Lung lobe segmentation helps in accurately identifying and analyzing specific …
diagnostics. Lung lobe segmentation helps in accurately identifying and analyzing specific …
Enhanced smart weather prediction through advanced atmospheric analysis and forecasting techniques using binarized spiking neural networks
Weather prediction remains a challenging task for meteorological researchers, despite
advancements in forecasting technologies. This manuscript proposes an Enhanced Smart …
advancements in forecasting technologies. This manuscript proposes an Enhanced Smart …
MNAFH-Net: Maxout neuron attention forward harmonic network for human stress level detection
S Ponugoti, S Rajagopalan - Biomedical Signal Processing and Control, 2025 - Elsevier
Stress has emerged as a critical issue due to personal and professional pressures,
impacting both physical and mental health. Timely detection is essential to mitigate its …
impacting both physical and mental health. Timely detection is essential to mitigate its …
Remote and Urban Environmental Area Sensing, Connectivity Issues, and Solutions Based on Emerging Technologies
This chapter states the interlink between urban environmental problems and the remote
sensing technology involved, to avoid connectivity potential challenges, and a new …
sensing technology involved, to avoid connectivity potential challenges, and a new …
A Comprehensive Introduction to Cloud Computing Revolution
Cloud computing can be considered as a revolution of how commercial enterprises obtain
and use computational services. In a narrow sense, cloud computing means the rent of …
and use computational services. In a narrow sense, cloud computing means the rent of …
5 LLM Pretraining Methods
Generative artificial intelligence (AI), an AI technique produces original text, sounds, 3D
models, animation, and images. It is powered by large-scale machine learning (ML) models …
models, animation, and images. It is powered by large-scale machine learning (ML) models …
6 LLM Fine-Tuning: Instruction and Parameter-Efficient Fine-Tuning (PEFT)
In artificial intelligence (AI) generating function the large language model plays an important
role in various long data communication. Even though the system has pretrained language …
role in various long data communication. Even though the system has pretrained language …
Potential Benefits of BIAs-based ML/DL Models
PV Gopirajan, B Hariharan, BNR Wilfred… - Bio-inspired Algorithms … - taylorfrancis.com
Integrating bio-inspired algorithms with ML and DL models enhances computational
intelligence. These algorithms, like neural networks modeling the human brain, ant colony …
intelligence. These algorithms, like neural networks modeling the human brain, ant colony …