Results 71 to 80 of about 87,026 (282)

Single classifier vs. ensemble machine learning approaches for mental health prediction

Brain Informatics, 2023
Early prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising approaches to achieving fully automated computer-based approaches for predicting mental health ...
Jetli Chung, Jason Teo
doaj   +1 more source

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

Advanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah, Asif Abdullah Khan, Saikiran Khamgaonkar, Majid Haji Bagheri, Danyah Khan, Md Rasidul Islam, Mahmoud Almadoun, Aixi Pan, Alexander Li, Marwa Abd‐Ellah, Vivek Maheshwari, Dayan Ban   +11 more
wiley   +1 more source

Membrane Wrapping for High Capacity and Rapidly Switchable Adhesives

Advanced Functional Materials, EarlyView.
A membrane‐wrapping mechanism enables high‐capacity, rapidly switchable adhesion by coupling suction, friction, and adhesion. Broadband performance is achieved in dry and underwater conditions, allowing fast, reversible manipulation of objects of diverse sizes and shapes, from delicate eggs and berries to flat, complex, or heavy objects. These outcomes
Yeunhee Kim, Camryn A. Mills, Michael D. Bartlett   +2 more
wiley   +1 more source

Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches

, 2018
Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Abdulatif, Sherif, Aziz, Fady, Kleiner, Bernhard, Schneider, Urs, Wei, Qian   +4 more
core   +1 more source

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks

, 2019
Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable both the drivers and the passengers to make better decisions about their ...
Bahrak, Behnam, Mahini, Hamid, Nejadettehad, Alireza   +2 more
core   +1 more source

Voltage‐Gated Dedoping of n‐Doped Poly(benzodifurandione) as an Interfacial Protective Mechanism in Electrochromic Devices

Advanced Functional Materials, EarlyView.
Electrochromic polymer stability under overpotential is improved by inserting an ultrathin, transparent n‐doped poly(benzodifurandione) interlayer between indium tin oxide and a poly(3,4‐propylenedioxythiophene)‐based electrochromic polymer. The interlayer supports rapid switching at operating bias, then becomes resistive near +0.8 V to suppress excess
Priyanka Rout, Palak Mehra, Won‐June Lee, Liyan You, Jianguo Mei   +4 more
wiley   +1 more source

A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study

Scientific Reports, 2021
High precision is optimal in prehospital diagnostic algorithms for strokes and large vessel occlusions. We hypothesized that prehospital diagnostic algorithms for strokes and their subcategories using machine learning could have high predictive value ...
Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Takashi Shimazui, Yoichi Yoshida, Rie E. Miura, Yasuo Yamao, Ryuzo Abe, Eiichi Kobayashi, Yasuo Iwadate, Taka-aki Nakada   +10 more
doaj   +1 more source

Compact Multi-Class Boosted Trees

, 2017
Gradient boosted decision trees are a popular machine learning technique, in part because of their ability to give good accuracy with small models. We describe two extensions to the standard tree boosting algorithm designed to increase this advantage ...
Colthurst, Thomas, Haykal, Salem, Hendry, Gilbert, Ponomareva, Natalia, Radpour, Soroush   +4 more
core   +1 more source

Temperature‐Robust Interphase Enables Carboxylate‐Ester Electrolyte for Stabilizing High‐Voltage Sodium Batteries

Advanced Functional Materials, EarlyView.
A synergistic electrolyte engineering strategy of employing ethyl acetate (EA) with vinylene carbonate (VC) as multifunctional additives is initially pioneered, making various as‐prepared high‐voltage wide‐temperature sodium batteries work well via the formation of a gradient and temperature‐robust interphase.
Huihua Li, Shuaijie Chang, Hongxu Qu, Jian Wang, Fanglin Wu, Minghua Chen, Huang Zhang   +6 more
wiley   +1 more source