Results 131 to 140 of about 16,826 (269)

Sustainable Polymer Biocomposites for Food Packaging: Green Nanotechnology, Circular Plastic Upcycling and Smart Functional Materials

Packaging Technology and Science, EarlyView.
Graphical abstract showing the development of biodegradable polymer biocomposites reinforced with natural fibres, green nanoparticles and waste‐plastic upcycling pathways toward sustainable smart food packaging materials ABSTRACT The fundamental hypothesis behind this review is that the combination of biodegradable polymer‐based biocomposites, which ...
Chandra Sekhar Espenti, Jaewoong Lee
wiley   +1 more source

I-MCM: IoT Malware Counter Measures for Cross-Architecture IoT Malware Detection

IEEE Access
The recent attacks initiated by malware-infected IoT devices illustrate that these attacks have tremendous impacts not only on the targeted systems but also on the entire internet infrastructure.
Ibrahim Gulatas, H. Hakan Kilinc, A. Halim Zaim, M. Ali Aydin   +3 more
doaj   +1 more source

Aplicação de tiny machine learning na segmentação de feridas [PDF]

Las heridas son lesiones cutáneas que, si no se tratan adecuadamente, pueden causar un sufrimiento considerable al paciente. Durante el tratamiento en instituciones de salud, es necesario monitorear la evolución de las lesiones, identificando, por ...
de Freitas Guilhermino Trindade, Daniela, Marcos Sgarbi, Ederson, Del Rio, João Bernardo, Reinaldo Merlin, José, Castanho Moreira, Ricardo, Moraes Barbosa, Isabelle, Floriano, Alan   +6 more
core  

Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs [PDF]

Visual structural inspections in Structural Health Monitoring (SHM) are an important method to ensure the safety and long lifetime of infrastructures.
Bader, Sebastian,, Zhang, Yuxuan,, Martinez Rau, Luciano,, Oelmann, Bengt,   +3 more
core   +1 more source

Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers

Remote Sensing in Ecology and Conservation, EarlyView.
This research established a new object detection model based on YOLOv11 to recognise benthic organisms, specifically sea cucumbers, by utilising high‐resolution photogrammetric‐based orthomosaics acquired along infralittoral Mediterranean Sea beds. The model demonstrated impressive performance metrics and, when combined with the Deepness plugin for the
Gian Mario Sangiovanni, Giovanna Jona Lasinio, Daniele Poggio, Gianluca Mastrantonio, Alessio Pollice, Arnold Rakaj, Midhun Mohan, Stefano Moro, Edoardo Casoli, Daniele Ventura   +9 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Scalable Embedded Tiny Machine Learning (SETML): A General Framework for Embedded Distributed Inference [PDF]

The growth of machine learning applications has increased the necessity of lightweight, energyefficient solutions for resource-constrained devices such as the STM32C011F6 microcontroller.
Vidal, Justice
core  

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Passive Acoustic Identification of Social Groups in the Hainan Gibbon

Remote Sensing in Ecology and Conservation, EarlyView.
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga, Emmanuel Dufourq, Nonhlanhla L. Luphade, Samuel T. Turvey, Heidi Ma, Susan M. Cheyne, Hui Lui, Jessica V. Bryant, Qing Chen, Wenyong Li, Zhiwei Liu, Zhaoli Zhou, Stefan Britz, Bubacarr Bah, Ian Durbach   +14 more
wiley   +1 more source

Optimized Visual Anomaly Detection Models for Tiny Machine Learning [PDF]

openThis thesis explores the field of visual anomaly detection within the context of Tiny Machine Learning (TinyML), focusing on the optimization of existing models for deployment on resourceconstrained edge devices.
BEN KHALIFA, YOUSSEF
core