Results 111 to 120 of about 3,494,638 (328)

Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation

Applied Computational Intelligence and Soft Computing
Face recognition is a reliable biometric technology that utilizes artificial intelligence and computer vision to identify and verify an individual’s identity based on facial features.
Muhammad Chaidir, Taufik F. Abidin, Hizir Sofyan, Kahlil Muchtar   +3 more
doaj   +1 more source

Spiking Neural Networks for People Counting Based on FMCW Radar

IEEE Access
This paper presents an innovative method for indoor people counting using Spiking Neural Networks (SNNs) exclusively with radar data, effectively addressing privacy concerns associated with camera-based systems.
Alberto Martin-Martin, Marta Verona-Almeida, Ruben Padial-Allue, Borja Saez, Javier Mendez, Encarnacion Castillo, Luis Parrilla   +6 more
doaj   +1 more source

Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning

International Journal of Innovative Science and Research Technology
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation.
Lakshin Pathak, Mili Virani, Drashti Kansara   +2 more
semanticscholar   +1 more source

DeepFruits: A Fruit Detection System Using Deep Neural Networks

Italian National Conference on Sensors, 2016
This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it is a ...
Inkyu Sa, ZongYuan Ge, Feras Dayoub, B. Upcroft, Tristan Perez, C. McCool   +5 more
semanticscholar   +1 more source

Biofilm‐Antagonist Ginger‐Based 3D‐Printable Photoresins for Complex Implant Designs Exhibiting Advanced Multifunctional Biomedical Applications

Advanced Materials, EarlyView.
This work offers unique Ginger‐based 3D‐printable resins that can print customizable high‐resolution complex designs. The customizable printing backbone of Zingerol prints also mimics various human bones' strength. Acquisition of in‐vivo biocompatibility in rat model with no severe inflammatory response, along with in‐vitro antioxidant and ex‐vivo anti‐
Simran Jindal, Majd Bisharat, Bassma Khamaisi, Krishanu Ghosal, Eid Nassar‐Marjiya, Qi Wu, Shadi Daoud, Idan Redenski, Samer Srouji, Shady Farah   +9 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels

Technologies
This study examines the efficacy of Random Forest and XGBoost classifiers in conjunction with three upsampling techniques—SMOTE, ADASYN, and Gaussian noise upsampling (GNUS)—across datasets with varying class imbalance levels, ranging from moderate to ...
Mehdi Imani, Ali Beikmohammadi, H. Arabnia   +2 more
semanticscholar   +1 more source

Successive Orthorhombic Distortions in Kagome Metals by Molecular Orbital Formation

Advanced Materials, EarlyView.
Orthorhombic distortions in kagome metals break the symmetry required for exotic charge order. Synchrotron X‐ray diffraction of NdRu3Si2 reveals successive orthorhombic transitions driven by molecular orbital formation between kagome layers. The frustrated kagome lattice hosts degenerate patterns of kagome dimers whose short‐range correlations produce ...
Ryo Misawa, Shunsuke Kitou, Rinsuke Yamada, Tobi Gaggl, Ryota Nakano, Yudai Shibata, Yoshihiro Okamura, Markus Kriener, Priya Ranjan Baral, Yuiga Nakamura, Yoshichika Ōnuki, Youtarou Takahashi, Taka‐hisa Arima, Milena Jovanovic, Leslie M. Schoop, Max Hirschberger   +15 more
wiley   +1 more source

Monitoring Multiple Behaviors in Beef Calves Raised in Cow–Calf Contact Systems Using a Machine Learning Approach

Animals
The monitoring of pre-weaned calf behavior is crucial for ensuring health, welfare, and optimal growth. This study aimed to develop and validate a machine learning-based technique for the simultaneous monitoring of multiple behaviors in pre-weaned beef ...
Seong-Jin Kim, Xue-Cheng Jin, Rajaraman Bharanidharan, Na-Yeon Kim   +3 more
doaj   +1 more source

Observation of Dislocation Bound States and Skin Effects in Non‐Hermitian Chern Insulators

Advanced Materials, EarlyView.
Experimental observation of the dislocation‐induced bound states and skin effects is demonstrated in a line‐gap non‐Hermitian acoustic lattice. By utilizing active meta‐atoms to measure the full complex spectrum and biorthogonal eigenstates, the study reveals the exceptional‐point‐driven melting of defect modes.
Jia‐Xin Zhong, Bitan Roy, Yun Jing
wiley   +1 more source