Results 121 to 130 of about 601,867 (317)

High Magnetic Sensitivity at the Coercive Field Induced by Shear Horizontal SAW in Polycrystalline FeGa Films

Advanced Materials Technologies, EarlyView.
A theoretical framework links stress‐induced changes in the Young's modulus of Fe₇₂Ga₂₈ layers to their magnetization dynamics under SH‐SAW excitation. This interaction produces a sharp sensor response near the coercive field, highlighting FeGa's magnetoelastic sensitivity.
Juan Diego Aguilera, Rocio Ranchal, Fernando Gálvez, Jose Miguel Colino, Isabel Gràcia, Stella Vallejos, Antonio Hernando, Pilar Marín, Patricia de la Presa, Daniel Matatagui   +9 more
wiley   +1 more source

A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects

IoT
The rapid proliferation of Internet of Things (IoT) devices in healthcare, from wearable sensors to implantable medical devices, has revolutionised patient monitoring, personalised treatment, and remote care delivery.
Omar Sabri, Bassam Al-Shargabi, Abdelrahman Abuarqoub, Tahani Ali Hakami   +3 more
doaj   +1 more source

IoT Challenges [PDF]

, 2012
Rob van Kranenburg, Alex Bassi
openalex   +1 more source

Scalable IoT accelerometer

, 2020
Driving style behavior in public transport can be divided into aggressive, normal and efficient. Usually, different kinds of hardware sensors are used to recognize these styles. The project presented in this thesis shows how using only an accelerometer sensor is possible to recognize the different styles of driving and it is also possible to achieve ...
openaire   +1 more source

Deep Learning for IoT

2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), 2020
Deep learning and other machine learning approaches are deployed to many systems related to Internet of Things or IoT. However, it faces challenges that adversaries can take loopholes to hack these systems through tampering history data. This paper first presents overall points of adversarial machine learning.
openaire   +3 more sources

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

Optimizing Customer Experience by Exploiting Real-Time Data Generated by IoT and Leveraging Distributed Web Systems in CRM Systems

IoT
Integrating smart devices from the Internet of Things (IoT) with Customer Relationship Management (CRM) systems presents significant opportunities for enhancing customer experience through real-time data utilization.
Marian Ileana, Pavel Petrov, Vassil Milev   +2 more
doaj   +1 more source

Research on Security Issues of RFID Technology in IOT [PDF]

, 2012
Hong-ying Jin, Min Tian
openalex   +1 more source

Advances in Mode (De)Multiplexing Technologies via Circularly Symmetric Structured Light Beams

Advanced Photonics Research, EarlyView.
This review presents a comprehensive overview of mode (de)multiplexing technologies using circularly symmetric structured light beams, encompassing strategies of beam splitter combinations, multiorder diffractive gratings, optical coordinate transformations, angular dispersion lenses, multilayer cascaded modulations, and multidimensional hybrid (de ...
Qingji Zeng, Shu Chen, Zhibin Wu, Junmin Liu, Huapeng Ye, Gaiqing Zhao, Dianyuan Fan, Shuqing Chen   +7 more
wiley   +1 more source

A Hybrid Learnable Fusion of ConvNeXt and Swin Transformer for Optimized Image Classification

IoT
Medical image classification often relies on CNNs to capture local details (e.g., lesions, nodules) or on transformers to model long-range dependencies.
Jaber Qezelbash-Chamak, Karen Hicklin
doaj   +1 more source