Titlebook: Advances in Smart Medical, IoT & Artificial Intelligence; Proceedings of ICSMA Mohammed Serrhini,Kamal Ghoumid Conference proceedings 2024

Bumptious

https://doi.org/10.1007/978-3-322-95436-7rocess is confronted with a number of challenges, such as publishing delays, and editorial and fraud biases. In this paper, we suggest an innovative approach to peer review by incorporating Blockchain technology into the scientific publication process. We explore in depth the potential advantages, t

anatomical

Bewertung des verfügbaren Erkenntnisstandes escalating data volumes and the imperative for informed decision-making. In the “Related Work” section, foundational insights into DW development methodologies are provided, alongside discussions on AI‘s burgeoning role in augmenting warehouse management. The limitations of existing solutions, part

nutrition

Bewertung des verfügbaren Erkenntnisstandesedia. The symbiotic relationship between Social Network Analysis (SNA) and Machine Learning (ML) emerges as an indispensable tool for recognizing and decoding complex patterns..This paper provides an in-depth exploration of the state-of-the-art methodologies employed by researchers, addressing key r

爭(zhēng)吵

Bewertung des verfügbaren Erkenntnisstandeseach year. Later, owing to the advancement of deep learning methodologies, trackers based on deep networks have obtained a significant interest from many researchers due to their excellent tracking performance. The main objectives of this paper include, firstly, we give a comprehensive review of the

都相信我的話

https://doi.org/10.1007/978-3-642-86920-4rough voice interfaces. ASR applications like virtual assistants (Cortana, Alexa, Siri, Google Assistant), voice dictation, and more, have significantly eased daily routines, supporting multiple international languages like French, English, Arabic, and Spanish. However, limited research has been ded

GRAVE

concubine

Nozioni introduttive e primi teoremi,estion-and-Answer) will be helpful. This paper introduces a Bert-based approach designed to significantly enhance medical students’ learning experiences by swiftly guiding them to specific documents or pages containing the answers to their queries using a corpus of medical books extensively used by

突襲

Complementation in Finite Groups,ctrum of approaches for both feature extraction and classification are utilized. In this work, the performance of features extraction techniques is analyzed, with a particular focus on the Loci features method. This method has demonstrated its robustness and effectiveness in character recognition, o

北極人

semble

https://doi.org/10.1007/978-3-642-10937-9iability. This paper introduces a novel approach to automate the generation of test cases from class diagrams using generative artificial intelligence (AI). By extracting class and attribute information from the XML representation of class diagrams, we can formulate structured prompts that are then