Results 141 to 150 of about 466,064 (245)
Advanced Computing, Volume 1, Issue 1, December 2026.Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz +2 more
wiley +1 more source
Closeness and Distance Conflicts on the Social Media Platform WhatsApp
International Journal of Applied Psychoanalytic Studies, Volume 23, Issue 4, December 2026.ABSTRACT This paper proposes that, beyond the familiar reasons for WhatsApp's widespread use—such as its cost‐free nature, user‐friendly interface, and immense popularity—the app possesses features that evoke common, often unconscious, psychodynamics linked to universal conflicts between unity and separation, or the negotiation of closeness and ...
Wendy Cain, Katherine Bain
wiley +1 more source
Dual-Channel Scale-Adaptive Clutter Suppression with Confidence-Derived Gating for Microwave Inspection of Curved Radar-Absorbing Materials. [PDF]
Sensors (Basel)Fang Y +6 more
europepmc +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia +17 more
wiley +1 more source
Unsupervised Beamforming with Optimized Coherence Loss for Clutter Suppression in Single Plane-Wave Ultrasound Imaging. [PDF]
Diagnostics (Basel)Hwang S, Cho H, Kim T, Kang J.
europepmc +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.Overview of AI‐powered surveillance technologies, applications, challenges, limitations, and deployment considerations. ABSTRACT Artificial intelligence (AI) has rapidly transformed smart surveillance systems, significantly leveraging technologies such as deep learning, computer vision, and adaptive monitoring.
Tanzila Kehkashan +7 more
wiley +1 more source
Ultrasonic Reverberation Clutter Suppression Using Multiphase Apodization With Cross Correlation. [PDF]
IEEE Trans Ultrason Ferroelectr Freq Control, 2016 Shin J, Chen Y, Malhi H, Yen JT.
europepmc +1 more source
Adaptive Prototype‐Based Few‐Shot Segmentation for Debris Flow Early Warning
Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.From single‐parameter monitoring to a cross‐modal few‐shot visual paradigm for debris flow early warning. Conventional rainfall‐gauge and mud‐level monitoring is data‐sparse, delayed in response, and spatially limited. The proposed framework instead fuses a support set, a query image, and a textual target category through ResNet‐50 and CLIP encoders ...
Mingzhi Zhang +7 more
wiley +1 more source
Motion Clutter Suppression for Non-Cooperative Target Identification Based on Frequency Correlation Dual-SVD Reconstruction. [PDF]
Sensors (Basel)He W, Luo Y, Shang X.
europepmc +1 more source
Eviction, Home and the Spatiality of Shame
Transactions of the Institute of British Geographers, Volume 51, Issue 4, December 2026.ABSTRACT Rooted in the scene of residential evictions, the present article examines the intersection of shame and eviction through intimate group interviews with family members in gentrifying Mexico City. It makes three contributions: highlighting the role of shame in facilitating evictions, presenting a spatial theory of shame and offering strategies ...
Jess Linz
wiley +1 more source