The assessment of tumor-infiltrating lymphocyte (TILs), together with gene expression signatures (GES), has the potential to guide personalized breast cancer therapy. We included 262 patients from the phase III NSABP B-41 trial, which evaluated neoad... read more
Brain tumor segmentation from multi-modal MRI scans remains challenging due to the heterogeneity of tumors, intensity variations, and different protocols. In this study, a Switchable Normalization-based Faster R-CNN (SNFRC) framework is proposed. Fur... read more
Polymer nanocomposites exhibit highly nonlinear viscoelastic behavior influenced by complex multiscale microstructural interactions between nanofillers and the polymer matrix. Existing data-driven models such as ANN, RNN, GRU, and LightGBM show limit... read more
Avocado orchards in southern India experience annual yield losses of 20-40% due to foliar pathogens, including Anthracnose (Colletotrichum Gloeosporioides), Root Rot (Phytophthora Cinnamomi), Algal Leaf Spot (Cephaleuros Virescens) and Scab (Elsinoe ... read more
Climate change and human activity are posing an increasing danger to water quality. Surface water in Algeria, especially in semi-arid areas, is under increasing pressure from industrial and urban discharges, and there is still a dearth of scientific ... read more
Biopolymer-based soil stabilization has attracted increasing attention as a sustainable approach in geotechnical engineering. However, accurate prediction of the compressive strength of biopolymer-stabilized soils remains challenging due to the compl... read more
Stroke-related dysphagia is influenced by brain damage location and cognitive impairment, but its mechanisms remain unclear. In this study, we aimed to clarify the mechanisms by which brain damage causes dysphagia and cognitive function in 246 patien... read more
Mosquitoes are important vectors of infectious diseases, and accurate species identification is essential for effective surveillance and control. Traditional image-based identification methods are labor-intensive, while existing deep learning models ... read more
This work proposes a simulation-based photonic-AI sensing framework for soil nutrient and microplastic detection. This framework integrates a 2D dual-ring cavity photonic crystal (PhC) sensor with a Deep & Cross Network model (DCN). The PhC sensor de... read more
Computer vision presents a great opportunity for improving pest monitoring in agriculture, particularly for yellow sticky traps, a critical component in IPM. However, despite the growing interest in applying object detection models for insect identif... read more
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