Results 231 to 240 of about 65,676 (304)

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes

Advanced Intelligent Systems, EarlyView.
The mixed convolutional transformer model represents a novel approach for the accurate and rapid diagnosis of glioma subtypes. This model employs advanced, complex layers and functions, establishing its uniqueness and enhancing its ability to deliver precise outcomes in glioma subtype detection.
S. M. Nuruzzaman Nobel, S. M. Masfequier Rahman Swapno, Md Babul Islam, AKM Azad, Salem A. Alyami, Md Alamin, Pietro Liò, Mohammad Ali Moni   +7 more
wiley   +1 more source

Oxygen control for an industrial pilot-scale fed-batch filamentous fungal fermentation

, 2007
L. Bodizs, Mariana Titica, N. Faria, B. Srinivasan, Denis Dochain, Dominique Bonvin   +5 more
openalex   +2 more sources

Algorithmically Enhanced Wearable Multimodal Emotion Sensor

Advanced Intelligent Systems, EarlyView.
This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau   +4 more
wiley   +1 more source

RNA-seq reveals multifaceted gene expression response to Fab production in Escherichia coli fed-batch processes with particular focus on ribosome stalling. [PDF]

Microb Cell Fact
Vazulka S, Schiavinato M, Tauer C, Wagenknecht M, Cserjan-Puschmann M, Striedner G.   +5 more
europepmc   +1 more source

Water Availability Is a Critical Determinant of a Population Shift from Proteobacteria to Actinobacteria during Start-Up Operation of Mesophilic Fed-Batch Composting

, 2007
Satoru Takebayashi, Takashi Narihiro, Yasuyuki Fujii, Akira Hiraishi   +3 more
openalex   +2 more sources

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices

Advanced Intelligent Systems, EarlyView.
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang   +11 more
wiley   +1 more source

Advances in 3D and 4D Printing of Soft Robotics and Their Applications

Advanced Intelligent Systems, EarlyView.
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu, Changchun Wu, Senyuan Lin, James Lam, Ning Xi, Yonghua Chen   +5 more
wiley   +1 more source

Analysis of a Memcapacitor‐Based Online Learning Neural Network Accelerator Framework

Advanced Intelligent Systems, EarlyView.
This study introduces a novel CMOS‐based memcapacitor framework for efficient neuromorphic computing, achieving 98.4% accuracy on (MNIST) modified national institute of standards and technology and 85.9% on canadian institute for advanced research( CIFAR)‐10.
Ankur Singh, Dowon Kim, Byung‐Geun Lee
wiley   +1 more source