Decoupled Classifier Knowledge Distillation. by Hairui Wang, Mengjie Dong, Guifu Zhu, Ya Li

“…Compared to using a single method, DCKD achieves superior results on both the CIFAR-100 and ImageNet datasets for image classification and object detection tasks, without reducing training efficiency. …”
Get full text

An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…Bayesian image analysis methods are commonly applied to solve image analysis problems such as noise reduction, feature enhancement, and object detection. A primary limitation of these methods is their computational cost due to the complex joint interdependencies between pixels, which limits the efficiency of performing posterior sampling through Markov chain Monte Carlo (MCMC). …”
Get full text

SGF-SLAM: Semantic Gaussian Filtering SLAM for Urban Road Environments by Zhongliang Deng, Runmin Wang

“…This framework effectively suppresses dynamic objects by integrating feature point detection and semantic segmentation networks, filtering out Gaussian point clouds that degrade mapping quality, thus enhancing system performance in complex outdoor scenarios. …”
Get full text

A Multitask CNN for Near-Infrared Probe: Enhanced Real-Time Breast Cancer Imaging by Maryam Momtahen, Farid Golnaraghi

“…This multitasking approach leverages the robust feature extraction capabilities of CNNs to perform complex tasks simultaneously, thereby improving the model’s efficiency and accuracy. …”
Get full text

From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…Results: While our model achieves an accuracy of 99.80% on the OCT2017 dataset, its standout feature is its parameter efficiency–requiring only 6.9 million parameters, significantly fewer than larger, more complex models such as Xception and OpticNet-71. …”
Get full text

A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

“…The operational efficiency of many industrial processes is greatly affected by condition monitoring, which has become more and more important in the detection and forecast of electrical machine failures. …”
Get full text

A Collaborative Auto-Diversified Optimization Scheme  by Besma Hezili, Hichem Talbi

“…For re-diversification, CADOS utilizes both CMA-ES, known for its efficiency in complex fitness landscapes, and the Auto-Enhanced Population Diversity (AEPD) technique. …”
Get full text

Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system by Xueqian Yang, Meiqi Wu, Menglin Liang, Haiqiong Zhang, Bo Li, Chenhui Mao, Liling Dong, Yuan Wang, Haiqun Xing, Chao Ren, Zhenghai Huang, Qingxiang Wen, Qi Ge, Zhengqing Yu, Feng Feng, Jing Gao, Li Huo

Get full text

A systematic review of multi-mode analytics for enhanced plant stress evaluation by Abdolrahim Zandi, Seyedali Hosseinirad, Hossein Kashani Zadeh, Kouhyar Tavakolian, Byoung-Kwan Cho, Fartash Vasefi, Moon S. Kim, Pantea Tavakolian, Pantea Tavakolian

“…IntroductionDetecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. …”
Get full text

Orthogonal-state-based measurement device independent quantum communication: a noise-resilient approach by Chitra Shukla, Abhishek Shukla, Symeon Chatzinotas, Milos Nesladek

“…Ultimately, we discuss system and operational complexity of our proposed protocols in light of experimental elements and the processes.…”
Get full text

Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…In addition, the new method makes it possible to understand complex cases when several factors are combined, indicating potential pathology. …”
Get full text

An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…ASSA addresses the challenge of determining the optimal number of decomposition layers, eliminating the parameter adjusting process and enhancing the measurement efficiency of sensor systems. Through experiments, magnetotelluric (MT) observation data with complex interferences were applied to demonstrate the performance of ASSA, and promising results with an RMSE of 0.2 were obtained. …”
Get full text

Ruthenium-based MOF catalysts for methanation of CO2 derivatives by Itziar Arnaiz, Carlos Márquez-Álvarez, Marcos Zubimendi, M. Asunción Molina, Andrew M. Beale, Manuel Sánchez-Sánchez, Joaquín Pérez-Pariente

“…Ru-BTC was particularly efficient: 67 % conversion and 96 % selectivity to CH4 at 150 ºC and 30 bars of H2 using a Ru/dimethylurea weight ratio of 1 %. …”
Get full text

Optofluidic sorting of microparticles using Airy beams by Zhelin Qu, Kunpeng Wang, Chao Feng, Tianli Wu, Yao Zhang, Xian Zhao, Jun-Lei Wang

“…We also demonstrate more complex operations involving wavefront modulation and microfluidic devices. …”
Get full text

Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
Get full text

How to Count Parrots: Comparing the Performance of Point and Transect Counts for Surveying Tasman Parakeets (<i>Cyanoramphus cookii</i>) by Michael John Adam Skirrow, Luis Ortiz-Catedral, Adam N. H. Smith

“…The fixed-point method was also more efficient, yielding 1.338 parakeet detections per count compared to the 0.642 parakeet detections per count obtained by the line transect method. …”
Get full text

Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The system was allowed to process complex tasks in real time directly in the field. …”
Get full text

An Integrated Method for Inverting Beach Surface Moisture by Fusing Unmanned Aerial Vehicle Orthophoto Brightness with Terrestrial Laser Scanner Intensity by Jun Zhu, Kai Tan, Feijian Yin, Peng Song, Faming Huang

“…This method demonstrates robust predictive accuracy in complex beach environments, with an RMSE of 2.63% across 40 samples, efficiently producing high-resolution BSM maps that offer values in studying aeolian sand transport mechanisms.…”
Get full text

Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…These advancements enable the efficient selection of dark green varieties and facilitate the establishment of optimal growth environments through plant growth monitoring. …”
Get full text

EWOD Sensor for Rapid Quantification of Marine Dispersants in Oil Spill Management by Oriol Caro-Pérez, María Blanca Roncero, Jasmina Casals-Terré

“…The device’s potential extends beyond marine dispersants to detecting various contaminants affecting surface tension. …”
Get full text