Results 121 to 130 of about 16,826 (269)

Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite

Information
This paper proposes a new benchmark specifically designed for in-sensor digital machine learning computing to meet an ultra-low embedded memory requirement.
Fabrizio Maria Aymone, Danilo Pietro Pau
doaj   +1 more source

Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review

ACM Transactions on Intelligent Systems and Technology
The field of Tiny Machine Learning (TinyML) has gained significant attention due to its potential to enable intelligent applications on resource-constrained devices. This review provides an in-depth analysis of the advancements in efficient neural networks and the deployment of deep learning models on ultra-low-power microcontrollers (MCUs) for TinyML ...
Lê, Minh Tri, Wolinski, Pierre, Arbel, Julyan   +2 more
openaire   +3 more sources

Microbial communities and functional diversity in seafood

JSFA reports, EarlyView.
Abstract Functional diversity encompasses ecosystem processes that enhance adaptability to environmental change. This study explores the diversity of microorganisms associated with seafood. In this paper, we present our knowledge of microbial diversity in relation to seafood.
Christian Larbi Ayisi, Samuel Ayeh Osei, Grace Afumwaa Boamah, Gertrude Dzifa Mensah   +3 more
wiley   +1 more source

Greater future range expansions in alien than native ant species

Oikos, EarlyView.
There is growing concern that many species may not be able to track suitable conditions under climate change and suffer range contractions as a result. At the same time, alien species introduced to novel geographic ranges are often assumed to benefit from climate change.
Tongyi Liu, Sébastien Ollier, Cleo Bertelsmeier   +2 more
wiley   +1 more source

FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments

Sensors
The widespread deployment of CCTV systems has significantly enhanced surveillance and public safety across various environments. However, the emergence of deepfake technology poses serious challenges by enabling malicious manipulation of video footage ...
Jimin Ha, Abir El Azzaoui, Jong Hyuk Park   +2 more
doaj   +1 more source

Digital surveillance of animals and nature recovery

People and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

TinyML with Meta-Learning on Microcontrollers for Air Pollution Prediction

Proceedings
Tiny machine learning (tinyML) involves the application of ML algorithms on resource-constrained devices such as microcontrollers. It is possible to improve tinyML performance by using a meta-learning approach.
I Nyoman Kusuma Wardana, Suhaib A. Fahmy, Julian W. Gardner   +2 more
doaj   +1 more source

TActiLE: active stream learning for tiny devices [PDF]

LAUREA MAGISTRALEIl TinyML è un campo in rapida evoluzione relativo all’intelligenza artificial (IA), che si focalizza in applicazioni e tecnologie per dispositivi estremamente di basso profilo.
GALIMBERTI, CLAUDIO
core  

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Applications and prospects of artificial intelligence and digital medicine in pediatric nasal skull base tumors

Pediatric Investigation, EarlyView.
Pediatric nasal skull base tumors present diagnostic and therapeutic challenges due to their deep location, nonspecific symptoms, and the narrow nasal cavity in children. Although artificial intelligence (AI) and digital medicine have advanced early diagnosis, multidisciplinary treatment, and prognosis, their application in these rare tumors remains ...
Xiuping Wu, Jing Wei, Chen Liu, Pengpeng Wang, Wentong Ge, Yang Han   +5 more
wiley   +1 more source