Results 81 to 90 of about 294 (197)
TAPAS: Transient Absorption Processing and Analysis Software
Transient‐Absorption Processing and Analysis Software packages the complete transient absorption workflow from drag‐and‐drop data import and automated unit normalization through chirp correction, singular‐value inspection, and finally, to global or target fitting inside an open‐source, cross‐platform graphical user interface.
Philipp Frech, Marcus Scheele
wiley +1 more source
HARVEST: A Locality‐Enhanced Vision Transformer for Efficient Multi‐Level Grocery Classification
A HARVEST (Hierarchical Attention‐based Retail Vision Efficient Scalable Transformer), is proposed which is a novel lightweight transformer architecture for hierarchical grocery classification ABSTRACT Grocery product recognition faces unique challenges in distinguishing visually similar items across hierarchical categories while maintaining ...
Anuruddha Paul +4 more
wiley +1 more source
This article proposes an integrated design method for a 12 kV intelligent ring main unit and constructs a fault diagnosis and isolation model. Firstly, building an integrated hardware platform can significantly improve perception speed and fusion potential.
Rongrong Shan, Jieyun Qiu, Dong Han
wiley +1 more source
This study develops a deep adversarial reinforcement learning framework for dynamic technology transfer risk assessment. The research outcome DAGAN‐MORL has a misjudgment rate 6.3%, a delay of 1.8 h, and a profit error of 7.9%, leading at the industrial level, providing intelligent support for university‐enterprise collaborative innovation. ABSTRACT As
Guojun Wang
wiley +1 more source
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani +7 more
wiley +1 more source
In this study, to address the problem of high cost and strong subjectivity of artificial grading of Agaricus bisporus, we propose a fast real‐time video‐based machine vision grading system, which achieves high‐speed grading of 1066.67 mushrooms per minute with an accuracy of 97.87% by lightweighting the YOLOv5 model and optimizing the balance between ...
Qiyang Shui +5 more
wiley +1 more source
Greater mitochondrial DNA functional impact score was associated with lower connectivity between dorsal attention and language networks, suggesting that mitochondrial dysfunction may lead to worse language processing and verbal memory. ABSTRACT Alterations in mitochondrial DNA (mtDNA) have been associated with worse cognitive abilities in older adults ...
Klara Mareckova +7 more
wiley +1 more source
U‐KAN for Multi‐Nuclei Segmentation Using an Adaptive Sliding Window Approach
ABSTRACT Accurate segmentation of nuclei in histopathological images is critical for improving diagnostic precision and advancing computational pathology. Deep learning models employed for this task must effectively handle structural variability while offering transparent and interpretable predictions to ensure clinical reliability.
Usman Ali +3 more
wiley +1 more source
Deep Fusion: A High‐Performance AI Framework for Colorectal Cancer Grading
ABSTRACT Automated, precise histopathological grading of colorectal cancer (CRC) is vital for prognosis and treatment but is challenged by inter‐observer variability and time demands. This study introduces and evaluates a novel deep learning framework for robust four‐class grading of colorectal adenocarcinoma (Normal, Well, Moderately, and Poorly ...
Muhammed Emin Bedir +3 more
wiley +1 more source

