Results 141 to 150 of about 14,848 (289)

Physical-model guided self-distillation network for single image dehazing. [PDF]

Front Neurorobot, 2022
Lan Y, Cui Z, Su Y, Wang N, Li A, Han D.
europepmc   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Annealing Self-Distillation Rectification Improves Adversarial Training

In standard adversarial training, models are optimized to fit one-hot labels within allowable adversarial perturbation budgets. However, the ignorance of underlying distribution shifts brought by perturbations causes the problem of robust overfitting. To
Chen, Shang-Tse, Wang, Hung-Jui, Wu, Yu-Yu   +2 more
core  

High‐Power Rapid Laser‐Induced Synthesis of Multi‐functional Cobalt Metal‐Organic Framework With an Unprecedented Synthesis Efficiency

Advanced Materials Technologies, EarlyView.
Laser‐assisted synthesis enables rapid (within 1 h) and high‐yield (≥90%) production of Co‐MOFs with mesoporous structures, tunable magnetic and optical properties, and efficient adsorption of N2, CH4, and CO2 for low‐energy gas separation. DFT calculations elucidate the electronic structure and adsorption behavior.
Saliha Mutlu, Bülend Ortaç, Ali Karatutlu, Taylan Gorkan, Engin Durgun, Dilek Soyler, Saniye Soylemez, Jelena Lillepäg, Volkan Filiz, Nergis Arsu, Sevil Savaskan Yilmaz   +10 more
wiley   +1 more source

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source

Tunable Applicator for Microneedle‐Based Medical Devices

Advanced Materials Technologies, EarlyView.
This paper presents a simple, low‐cost tunable applicator (TAPP) for microneedle array patches that uses a material‐agnostic controlled‐fracture mechanism to ensure reliable skin penetration and uniform array engagement. The scalable, modular design is compatible with injection molding and 3D printing, can be integrated directly into patches, and is ...
Dan Ilyn, Jihyun (Luna) Hwang, Ian A. Coates, Jacob Dobson, Andy H. Hung, Netra U. Kamat, John R. Tumbleston, Maria T. Dulay, Gunilla B. Jacobson, Joseph M. DeSimone   +9 more
wiley   +1 more source

Diverse Feature Learning by Self-distillation and Reset

Our paper addresses the problem of models struggling to learn diverse features, due to either forgetting previously learned features or failing to learn new ones.
Park, Sejik
core  

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Enhancing medical diagnosis on chest X-rays: knowledge distillation from self-supervised based model to compressed student model

Discover Computing
Deep learning and self-supervised learning techniques have advanced, making it possible to diagnose medical images more accurately. Our goal in this work is to increase the accuracy of medical diagnosis using chest X-rays by utilising information ...
Jaydeep Kishore, Akshita Jain, K. Krishna Koushika, Pawan Kumar Mishra, Shekhar Karanwal, Surendra Solanki   +5 more
doaj   +1 more source

Graphene‐Interfaced Stretchable Sweat Patch for Multiplexed Electrochemical Monitoring of IL‐6, Glucose, and Calcium Ions

Advanced Materials Technologies, EarlyView.
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon, Ali Tufani, Süleyman Çelik, Javed H. Niazi, Anjum Qureshi   +4 more
wiley   +1 more source