Results 221 to 230 of about 160,235 (299)

Abunmix enables the simple and robust multiplexed immunofluorescence imaging

VIEW, EarlyView.
Multiplexed fluorescence imaging is limited by bleed‐through signals arising from the use of antibodies derived from the same host species. Abunmix can separate signals from multiple antibodies generated from the same host species using a signal unmixing algorithm.
Woonggi La, Seoungbin Bae, Junyoung Seo, Hayeong Yu, Junmo Cho, Hyunwoo Kim, Hoyeon Nam, Seungjae Han, Euiin Yi, Eunsu Kim, Chan Kang, Hyejin Shin, Chang Woo Song, Young‐Gyu Yoon, Jae‐Byum Chang   +14 more
wiley   +1 more source

A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation. [PDF]

PLoS One
Kirubakaran M, Mohan J.
europepmc   +1 more source

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning. [PDF]

Sci Rep
Farsi M, Alwateer M, Alsaedi SA, AlSahafi AI, Balaha HM, Aboelnaga MM, Badawy M, Elhosseini MA.   +7 more
europepmc   +1 more source

Adversarial Machine Learning Attacks on Automatic Number Plate Recognition Systems

Alvaro de Castro
openalex   +1 more source

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]

PLoS One
Tang D.
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Adversarial susceptibility analysis for water quality prediction models. [PDF]

Sci Rep
Zalte J, Rai A, Shah H, Fulekar MH.
europepmc   +1 more source

Adversarial Robustness in Natural Language Processing: An Empirical Analysis of Machine Learning Model Vulnerabilities to Adversarial Attacks [PDF]

Asheshemi Nelson Oghenekevwe, Okoro Akpohrobaro Daniel, Obode Aghogho Micheal   +2 more
openalex   +1 more source