Physics World

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

Researchers co-develop new deep learning platform to advance precision medicine

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
EurekAlert!

Photonic compute-in-wire: remotely driven photonic deep neural network with single nonlinear loop

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...

Lingyun Lai Enhances Data Security Evaluation with Deep Learning and Hierarchical Analytical Frameworks

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...
IEEE

Evaluating Pretrained Deep Learning Models for Image Classification Against Individual and Ensemble Adversarial Attacks

Abstract: The robustness of Deep Neural Networks (DNNs) against adversarial attacks is an important topic in the area of deep learning. To fully investigate the robustness of DNNs, this study examines ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Deep learning and explainable AI for classification of potato leaf diseases

The accurate classification of potato leaf diseases plays a pivotal role in ensuring the health and productivity of crops. This study presents a unified approach for addressing this challenge by ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
IEEE

Deep Learning Framework for Speech Emotion Classification: A Survey of the State-of-the-Art

Abstract: The intricate landscape of speech emotion classification poses a captivating yet challenging realm due to emotions being fundamental to human communication. In recent years, deep learning ...