Results 61 to 70 of about 118,357 (248)

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

ResNet

, 2022
In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the GIANA challenge. In some cases like RTC-ATC group ResNet-50 was used as a layer in Faster Convolutional Neural Network (FCNN) in order to build an automated recognition system to detect the presence of ...
Amaya Rodríguez, Isabel, Civit Masot, Javier, Luna Perejón, Francisco, Durán López, Lourdes, Rakhlin, Alexander, Nikolenko, Sergey, Kondo, Satoshi, Laiz, Pablo, Vitriá, Jordi, Seguí, Santi, Brandao, Patrick, Bernal, Jorge (Coordinador), Histace, Aymeric (Coordinador)   +12 more
openaire   +2 more sources

3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data

Remote Sensing, 2023
Ensuring food security in precision agriculture requires early prediction of soybean yield at various scales within the United States (U.S.), ranging from international to local levels.
Mahdiyeh Fathi, R. Shah-Hosseini, Armin Moghimi   +2 more
semanticscholar   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Blindness detection in diabetic retinopathy using Bayesian variant-based connected component algorithm in Keras and TensorFlow

Научно-технический вестник информационных технологий, механики и оптики
The neuro-degenerative eye disease glaucoma is caused by an increase in eye pressure inside the retina. As the secondleading cause of blindness in the world, if an early diagnosis is not obtained, this can cause total blindness.
Sh. Anantha Babu, S. Murali, E. Vijayan, M. Anand, L. Ramanathan   +4 more
doaj   +1 more source

Classification of pest detection in paddy crop based on transfer learning approach

Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, 2021
Pest recognition in the agriculture field plays a critical issue for the farmers which diminishes economic growth. So far, traditional practices were followed by farmers to increase yield production. Nowadays, researchers execute a deep learning approach
V. Malathi, M. P. Gopinath
doaj   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Multimodal Ensemble-Based Segmentation of White Matter Lesions and Analysis of Their Differential Characteristics across Major Brain Regions

Applied Sciences, 2020
White matter lesions (WML) are common in a variety of brain pathologies, including ischemia affecting blood vessels deeper inside the brain’s white matter, and show an abnormal signal in T1-weighted and FLAIR images.
Saima Rathore, Tamim Niazi, Muhammad Aksam Iftikhar, Ashish Singh, Batool Rathore, Michel Bilello, Ahmad Chaddad   +6 more
doaj   +1 more source

Building surrogate models of nuclear density functional theory with Gaussian processes and autoencoders

Frontiers in Physics, 2022
From the lightest Hydrogen isotopes up to the recently synthesized Oganesson (Z = 118), it is estimated that as many as about 8,000 atomic nuclei could exist in nature.
Marc Verriere, Nicolas Schunck, Irene Kim, Irene Kim, Petar Marević, Petar Marević, Petar Marević, Kevin Quinlan, Michelle N. Ngo, Michelle N. Ngo, David Regnier, David Regnier, Raphael David Lasseri   +12 more
doaj   +1 more source

A hybrid ResNet-ViT approach to bridge the global and local features for myocardial infarction detection

Scientific Reports
Myocardial infarction (MI) remains a significant contributor to global mortality and morbidity, necessitating accurate and timely diagnosis. Current diagnostic methods encounter challenges in capturing intricate patterns, urging the need for advanced ...
Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, Shabir Husssain, Lifeng Li, Lei Shi   +5 more
semanticscholar   +1 more source