Zobrazeno 1 - 10
of 2 419
pro vyhledávání: '"Chetouani, A"'
Autor:
Wang, Zhe, Jennane, Rachid, Chetouani, Aladine, Chen, Yung Hsin, Bauer, Fabian, Jarraya, Mohamed
Knee osteoarthritis (KOA) is a prevalent musculoskeletal disorder, and X-rays are commonly used for its diagnosis due to their cost-effectiveness. Magnetic Resonance Imaging (MRI), on the other hand, offers detailed soft tissue visualization and has
Externí odkaz:
http://arxiv.org/abs/2410.06997
In this paper, we propose hardware and software enhancements for the Pepper robot to improve its human-robot interaction capabilities. This includes the integration of an NVIDIA Jetson GPU to enhance computational capabilities and execute real time a
Externí odkaz:
http://arxiv.org/abs/2409.01036
Recent speech technologies have led to produce high quality synthesised speech due to recent advances in neural Text to Speech (TTS). However, such TTS models depend on extensive amounts of data that can be costly to produce and is hardly scalable to
Externí odkaz:
http://arxiv.org/abs/2409.01217
Knee Osteoarthritis (KOA) is a common musculoskeletal disorder that significantly affects the mobility of older adults. In the medical domain, images containing temporal data are frequently utilized to study temporal dynamics and statistically monito
Externí odkaz:
http://arxiv.org/abs/2408.00891
The prediction of ship trajectories is a growing field of study in artificial intelligence. Traditional methods rely on the use of LSTM, GRU networks, and even Transformer architectures for the prediction of spatio-temporal series. This study propose
Externí odkaz:
http://arxiv.org/abs/2405.09596
With the increasing presence of social robots in various environments and applications, there is an increasing need for these robots to exhibit socially-compliant behaviors. Legible motion, characterized by the ability of a robot to clearly and quick
Externí odkaz:
http://arxiv.org/abs/2404.05100
Autor:
Sekhri, Aymen, Tliba, Marouane, Kerkouri, Mohamed Amine, Nasser, Yassine, Chetouani, Aladine, Bruno, Alessandro, Jennane, Rachid
Conventional imaging diagnostics frequently encounter bottlenecks due to manual inspection, which can lead to delays and inconsistencies. Although deep learning offers a pathway to automation and enhanced accuracy, foundational models in computer vis
Externí odkaz:
http://arxiv.org/abs/2403.09947
Neural network quantization is a critical technique for deploying models on resource-limited devices. Despite its widespread use, the impact of quantization on model perceptual fields, particularly in relation to class activation maps (CAMs), remains
Externí odkaz:
http://arxiv.org/abs/2403.09939
Autor:
Bruno, Alessandro, Mazzeo, Pier Luigi, Chetouani, Aladine, Tliba, Marouane, Kerkouri, Mohamed Amine
The widespread adoption of large language models (LLMs) across diverse AI applications is proof of the outstanding achievements obtained in several tasks, such as text mining, text generation, and question answering. However, LLMs are not exempt from
Externí odkaz:
http://arxiv.org/abs/2311.08117
Good teachers always tailor their explanations to the learners. Cognitive scientists model this process under the rationality principle: teachers try to maximise the learner's utility while minimising teaching costs. To this end, human teachers seem
Externí odkaz:
http://arxiv.org/abs/2309.17275