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Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks
01/07/2025 - This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98%...
Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots
01/07/2025 - The authors present ProSoRo, a proprioceptive soft robot that anchors morphological states to a single internal reference frame and employs a multimodal variational autoencoder for crossmodal...
Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies
01/07/2025 - A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting...
CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set
01/07/2025 - In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost...
Gaze‐Engineered 3D Augmented Reality
01/07/2025 - Augmented Reality (AR) systems serve as a critical interface bridging users with the metaverse. This study explores the application of human factors engineering in metaverse development, specifically...
AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles
01/07/2025 - An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe...
Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control
30/06/2025 - In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude...
Integration of Cholesterol Oxidase‐Based Biosensors on a Smart Contact Lens for Wireless Cholesterol Monitoring from Tears
29/06/2025 - The combination of a parity‐time symmetry wireless technology with a cholesterol sensor integrated into a smart contact lens enables high‐sensitivity cholesterol sensing at low...
EndoARSS: Adapting Spatially Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery
29/06/2025 - This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model...
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
25/06/2025 - Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a...
Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials
25/06/2025 - Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The...
NSIP: Neural Network SPICE Integration Platform for Ferroelectric Field‐Effect Transistor‐Based Crossbar Arrays
25/06/2025 - This study presents the neural network SPICE integration platform (NSIP), a novel simulation framework for FeFET‐based crossbar arrays in neuromorphic computing. NSIP accurately models synaptic...
Dynamic Distribution‐Based Multiagent Cooperative Defense: An Enhanced Resource Allocation and Defense Efficiency Strategy
25/06/2025 - This study addresses multiagent defense challenges against low‐cost swarm attacks through a hierarchical framework combining resource allocation and PPO optimization. The three‐layer architecture...
Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation
25/06/2025 - In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The...
RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework
25/06/2025 - This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement,...
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
25/06/2025 - A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots...
Ultralight Soft Wearable Haptic Interface with Shear‐Normal‐Vibration Feedback
25/06/2025 - This study proposes soft wearable haptic interface using pneumatic actuators and origami pumps. This interface can generate multiple sensations such as touching, slipping, and vibrating. To show...
Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
24/06/2025 - The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and...
Design of Compact Liquid Crystal on Silicon Projection Optics Utilizing a Common Freeform Optical Path for Augmented Reality Displays
23/06/2025 - This study presents a compact freeform projection optics using dual wedge prisms for waveguide displays. Unlike previous designs that separate illumination and imaging paths, a freeform optical path...
A Field Programmable Gate Array‐Assisted Optoelectronic Emulator for Photonic Neuromorphic Computing
23/06/2025 - This work presents a hybrid optoelectronic architecture using field‐programmable‐gate‐array‐controlled optical components for multiplication operations. Data are encoded via electro‐optic...
Exploring the Influence of Applied Potential and Catalyst Morphology on the Selectivities of Copper Toward Carbon Dioxide Electroreduction Using Machine Learning
23/06/2025 - A machine learning‐assisted workflow integrates experimental data mining, model training, and SHapley Additive exPlanations‐based interpretation to map the coupled effects of catalyst morphology,...