Results 181 to 190 of about 848,733 (323)

Optimisation of anaerobic digestion of palm oil mill effluent with biochar addition: Synergistic application of Artificial neural network and response Surface Methodology

P. Chang, Yi Jing Chan, Senthil Kumar Arumugasamy, Yoke Kin Wan, Jun Wei Lim   +4 more
openalex   +1 more source

Physical Intelligence in Small‐Scale Robots and Machines

Advanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source

Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin

Advanced Materials, EarlyView.
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu, Seungsoo Jang, Young Seok Cho, Seunggyu Park, Jun Yeon Hwang, Soon Hyung Hong, Thomas James Marrow, Kang Taek Lee   +7 more
wiley   +1 more source

Prediction of Ammonia Mitigation Efficiency in Sodium Bisulfate-Treated Broiler Litter Using Artificial Neural Networks. [PDF]

Animals (Basel)
Yayli B, Kilic I.
europepmc   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

Machine learning algorithms and artificial neural networks for predicting schizophrenia using orbital parameters. [PDF]

Sci Rep
Emre E, Soylemez DO, Secgin Y, Karaagac SS, Kenanoglu O, Aydin S.   +5 more
europepmc   +1 more source

Applications Of Artificial Neural Network To Building Statistical Models For Qualifying And Indexing Radiation Treatment Plans

, 2010
Pei‐Ju Chao, Tsair-Fwu Lee, Wei-Luen Huang, Long-Chang Chen, Te‐Jen Su, Wen‐Ping Chen   +5 more
openalex   +2 more sources

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

The cost of unmodeled biological complexity in artificial neural networks. [PDF]

Patterns (N Y)
Bikić A, Kaspar C, Pernice WHP.
europepmc   +1 more source