Drone-Based Wildfire Detection with Multi-Sensor Integration by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Mukhriddin Mukhiddinov, Azamat Kakhorov, Abror Buriboev, Heung Seok Jeon

“…The model introduces a Space–Frequency Selective Convolution (SFS-Conv) module to enhance the discriminative capacity of features in both spatial and frequency domains. …”
Get full text

Physiological signal-based mental stress detection using hybrid deep learning models by Nandini Modi, Yogesh Kumar, Kapil Mehta, Neelam Chaplot

“…The algorithm begins by segmenting preprocessed EEG data and extracting time–frequency features using Short-Time Fourier Transform (STFT). …”
Get full text

Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning by Ke Wang, Yuqian Mao, Qi Qiao

“…This framework incorporates a novel causal intervention method based on multi-scale random convolution to eliminate spurious correlations caused by imaging variations, thereby enhancing feature stability. …”
Get full text

A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis by Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha, G. Arulkumaran

“…Here, CNN is used for feature extraction, and LSTM is used for extracted feature detection. …”
Get full text

Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…Looking ahead, this technology is anticipated to provide improved medical services for patients with heart disease through continuous, non-invasive monitoring and timely intervention.…”
Get full text