Results 61 to 70 of about 49,141 (264)

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

A NEW SPECIES OF CELLARIA (BRYOZOA, CHEILOSTOMATIDA) FROM THE LATE DANIAN (PALEOCENE) OF PATAGONIA (ARGENTINA)

Publicación Electrónica de la Asociación Paleontológica Argentina
The cheilostome bryozoan genus Cellaria is characterized by articulated, dichotomously branching colonies, which are composed of cylindrical internodes joined by cuticular nodes.
Juan López-Gappa, Débora Iturra, Leandro M. Pérez, Egly Pérez Pincheira, Alberto C. Garrido   +4 more
doaj   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Natural Gas Consumption Forecasting with Kolmogorov–Arnold Networks: A Comparison with MLP

Sakarya University Journal of Computer and Information Sciences
Natural gas remains a vital resource for meeting residential heating energy needs, particularly during the winter months. Accurate demand forecasting is essential for maintaining supply-demand balance, optimizing operational costs, and supporting ...
Kürşad Arslan, Emrah Dönmez
doaj   +1 more source

Bidirectional deep architecture for Arabic speech recognition

Open Computer Science, 2019
Nowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control/monitor modern interfaces.
Zerari Naima, Abdelhamid Samir, Bouzgou Hassen, Raymond Christian   +3 more
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source

Mathematical and neural network modelling of terebinth fruit under fluidized bed drying

Research in Agricultural Engineering, 2015
The paper presents an application which uses Feed Forward Neural Networks (FFNNs) to model the non-linear behaviour of the terebinth fruit drying. Mathematical models and Artificial Neural Networks (ANNs) were used for prediction of effective moisture ...
M. Kaveh, R. Amiri Chayjan
doaj   +1 more source

MLPs Compass: What is Learned When MLPs are Combined with PLMs?

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
While Transformer-based pre-trained language models and their variants exhibit strong semantic representation capabilities, the question of comprehending the information gain derived from the additional components of PLMs remains an open question in this field.
Li Zhou 0010, Wenyu Chen 0001, Yong Cao 0001, Dingyi Zeng, Wanlong Liu, Hong Qu 0002   +5 more
openaire   +2 more sources

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source