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 …

Rat swarm political optimizer based deep learning approach for lung lobe segmentation and lung cancer detection using CT images

N Velmurugan, R Rajeswari, S Naganjaneyulu… - … Signal Processing and …, 2025 - Elsevier
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 …

Enhanced smart weather prediction through advanced atmospheric analysis and forecasting techniques using binarized spiking neural networks

M Amanullah, K Ananthajothi, D Divya - Knowledge and Information …, 2025 - Springer
Weather prediction remains a challenging task for meteorological researchers, despite
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 …

Remote and Urban Environmental Area Sensing, Connectivity Issues, and Solutions Based on Emerging Technologies

M Abinaya, G Vadivu… - Networked Sensing …, 2025 - Wiley Online Library
This chapter states the interlink between urban environmental problems and the remote
sensing technology involved, to avoid connectivity potential challenges, and a new …

A Comprehensive Introduction to Cloud Computing Revolution

A Ashwini, S Balasubramaniam… - … Systems Through Cloud …, 2025 - igi-global.com
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 …

5 LLM Pretraining Methods

A Velu, R Ramamoorthy, SM Manasa… - Generative AI and …, 2024 - degruyter.com
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 …

6 LLM Fine-Tuning: Instruction and Parameter-Efficient Fine-Tuning (PEFT)

S Aathilakshmi, G Sivapriya… - Generative AI and LLMs …, 2024 - degruyter.com
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 …

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 …