Results 111 to 120 of about 22,567 (276)
Learnable Diffusion Framework for Mouse V1 Neural Decoding
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang +9 more
wiley +1 more source
Lightweight cryptography for IoT devices
Lightweight cryptography is a field that has been growing fast recently due to the demand for secure Internet of Things (IoT) applications. These algorithms provide se curity for computational power, memory, and energy-constrained devices. In this work, we propose a new protocol based on lightweight cryptography algorithms that enables the generation ...
openaire +1 more source
xx xx. ABSTRACT Fabric‐based wearable electronics are gaining increasing attention owing to their flexibility, breathability, biocompatibility, and seamless integration into clothing. However, most existing studies rely primarily on metallic or carbon‐based conductive materials.
Thirumalaisamy Suryaprabha +6 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Phase‐Field simulations are carried out to elucidate nanomorphology formation mechanisms in organic photoactive layers under thermal annealing. The predicted bulk heterojunction structures are in excellent agreement with Scanning Electron Microscopy measurements.
Maxime Siber +3 more
wiley +1 more source
Constructions for lightweight cryptography
Cette thèse explore à la fois la construction et l'analyse de primitives de cryptographie symétrique. Nous obtenons de meilleures constructions que celles de la littérature, en visant la réduction des coûts d'implémentation. Nous étudions trois types de primitives : les chiffrements par blocs, utilisés couramment pour le chiffrement symétrique, un ...
openaire +1 more source
Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe +4 more
wiley +1 more source
RRAM Variability Harvesting for CIM‐Integrated TRNG
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende +4 more
wiley +1 more source
A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers
Protecting sensitive data, such as data collected from sensors, is crucial for ensuring the accurate assessment of sensing devices and preventing unauthorized access.
Jesús Soto-Cruz +5 more
doaj +1 more source

