Results 71 to 80 of about 54,505 (261)

Audio Signal Authentication and Integrity Protection

Computers
This paper presents SAIN (Signal Authentication and INtegrity), an improvement to an algorithm developed for the fragile watermarking of audio files, composed of sequences of samples, with the purpose of integrity protection.
Marco Botta, Davide Cavagnino, Annunziata Marra   +2 more
doaj   +1 more source

An Effective Optimization-Based Neural Network for Musical Note Recognition

Journal of Intelligent Systems, 2019
Musical pitch estimation is used to recognize the musical note pitch or the fundamental frequency (F0) of an audio signal, which can be applied to a preprocessing part of many applications, such as sound separation and musical note transcription. In this
Tamboli Allabakash Isak, Kokate Rajendra D.   +1 more
doaj   +1 more source

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source

Optimized intelligent speech signal verification system for identifying authorized users

Engineering and Applied Science Research, 2023
Speech processing is today's trending topic in the digital industry for making authentication to keep aware of unauthorized ones. However, analyzing the signal feature using conventional filtering or the neural models is insufficient due to the present ...
Pravin Marotrao Ghate, Bhagvat D Jadhav, Prabhakar N Kota, Shankar Dattatray Chavan, Pravin Balaso Chopade   +4 more
doaj  

Compressed Sensing Data with Performing Audio Signal Reconstruction for the Intelligent Classification of Chronic Respiratory Diseases. [PDF]

Sensors (Basel), 2023
Albiges T, Sabeur Z, Arbab-Zavar B.
europepmc   +1 more source

AI‐Assisted Recognition of Actual Ureteral and Pancreatic Injuries in Laparoscopic Colorectal Surgery: A Randomized Video Review Study

Annals of Gastroenterological Surgery, EarlyView.
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu, Teppei Kamada, Kai Neki, Asuka Kuwashima, Yuta Imaizumi, Shunsuke Nakashima, Yasuhiro Takano, Yasunobu Kobayashi, Yasuhiro Takeda, Ken Eto   +9 more
wiley   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Optical audio signal hiding algorithm based on fractional Fourier transform domain and Gerchberg Saxton phase recovery

Results in Optics
This article proposes an audio signal encryption method based on the Gerchberg-Saxton (G-S) phase recovery algorithm in the fractional Fourier transform domain.
Hang Chen, Zhenduo Ma, Ziyi Zhang, Zhengjun Liu   +3 more
doaj   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source