Results 151 to 160 of about 139,929 (306)
Toward Energy-Efficient and Low-Carbon Intrusion Detection in Edge and Cloud Computing Based on GreenShield Cybersecurity Framework. [PDF]
Alshammari A.
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
RINAsense: An open-source, low-power IoT sensor node for Recursive InterNetwork Architecture (RINA) Experimentation. [PDF]
Sarabia-Jácome D, Grasa E, Catalán M.
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
Post-quantum cryptographic authentication protocol for industrial IoT using lattice-based cryptography. [PDF]
Shahid AB +4 more
europepmc +1 more source
CRYPTOGRAPHIC KEY GENERATION SYSTEMS FOR SECURITY MODULES WITH HARDWARE SUPPORT OF IOT DEVICES
Petro Klimushyn +3 more
openalex +2 more sources
SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications
To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley +1 more source
IoT framework for sports activity safety monitoring based on wearable sensors and CRNN spatiotemporal analysis. [PDF]
Zhang SZ, Yang HZ, Gao Y.
europepmc +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source

