Results 271 to 280 of about 31,003,301 (345)

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

A Comparison of Machine Learning Approaches to Activity Classification Using IMU Data Collected in a Community-Based Setting. [PDF]

Sensors (Basel)
Anderson HE, Scheidt RA, Bassindale KD.
europepmc   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Cross-national analysis of learning approaches, achievement motivation, and academic success among nursing students. [PDF]

BMC Nurs
Benjamin LS, Shanmugam SR, Dominguez AJ, Alqarni AS, Mohammed IAS, Ahmed KE, Mohsen MM, Zaki RA, Krishnasamy T.   +8 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT. [PDF]

Bone Rep
David MA, Williams KG, Constantine EP, Matthias J, Ferguson VL, Adams DJ.   +5 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus. [PDF]

BMC Med Inform Decis Mak
Kama MO, Ajah IA, Ikegwu AC, Obayi AA, Uloko FO, Ogbuagu IC.   +5 more
europepmc   +1 more source

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. [PDF]

PLoS One
Birlie AA, Meshesha NA, Tizie SB, Wondie SG, Teshome SG, Bedada TD, Muluneh AA, Eticha BL, Dube GN, Wodessa G, Mengistie MB.   +10 more
europepmc   +1 more source