Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

Get full text

Adolescents’ Digital activity and its Correlation with Cognitive-Emotional Features, School Performance, and Social and Age Factors: Cross-Sectional Study by George A. Karkashadze, Natalia E. Sergeeva, Leyla S. Namazova-Baranova, Elena A. Vishneva, Elena V. Kaytukova, Kamilla E. Efendieva, Tinatin Yu. Gogberashvili, Dmitriy S. Kratko, Safarbegim Kh. Sadilloeva, Marina A. Kurakina, Anastasiya I. Rykunova, Tatiana A. Konstantinidi, Nadezhda A. Ulkina, Daria A. Bushueva, Inessa A. Povalyeva, Leonid M. Yatsyk, Tatiana A. Salimgareeva, Yuliya V. Nesterova, Pavel A. Prudnikov, Natalia S. Sergienko, Margarita A. Soloshenko, Nikita S. Shilko, Yuliya E. Kazantzeva

“…The study of digital activity correlation with cognitive-emotional features, as well as with other parameters of adolescents’ life-activity in non-capital regions of Russian Federation remains relevant.Objective. …”
Get full text

Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

Get full text

Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…However, existing visual methods often struggle to adapt to structural transformations and capture critical features of pavement diseases in complex environments, while their computational demands can be resource-intensive. …”
Get full text

The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). The BFT is analytic, computationally inexpensive, and requires no thresholding or parameter tuning. …”
Get full text

Community evolution prediction based on feature change patterns in social networks by Jingyi Ding, Guojing Sun, Tiwen Wang, Licheng Jiao, Junzhao Du, Jianshe Wu, Hongfei Wang, Ruohui Cheng

Get full text

A Comparison Performance Analysis of QoS WLANs: Approaches with Enhanced Features by Ioannis Papapanagiotou, Georgios S. Paschos, Michael Devetsikiotis

Get full text

Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. …”
Get full text

Designing Macroscopic Surface Features Perceived as Soft During Finger Sliding by Qingyu Sun, Hongbo Wang, Shogo Okamoto

Get full text

Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…The scale-invariant feature transform (SIFT) descriptors are handcrafted local features computed from the four subbands of one-level two-dimensional discrete wavelet transform (2D DWT). …”
Get full text

MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

Get full text

Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. by Tristan Aumentado-Armstrong, Michael G Metzen, Michael K J Sproule, Maurice J Chacron

Get full text

Evaluating the value of machine learning models for predicting hematoma expansion in acute spontaneous intracerebral hemorrhage based on CT imaging features of hematomas and surrou... by Tianyu Yang, Tianyu Yang, Zhen Zhao, Yan Gu, Shengkai Yang, Yonggang Zhang, Lei Li, Ting Wang, Zhongchang Miao

“…Model performance was evaluated using receiver operating characteristic (ROC) curves and the area under the curve (AUC).ResultsEight feature parameters were extracted from the CT images. …”
Get full text

Survival Prediction of Esophageal Cancer Using 3D CT Imaging: A Context-Aware Approach With Non-Local Feature Aggregation and Graph-Based Spatial Interaction by Fuce Guo, Chen Huang, Shengmei Lin, Yongmei Dai, Qianshun Chen, Shu Zhang, Xunyu XU

“…In the current study, we aimed to develop an effective EC survival risk prediction using only 3D computed tomography (CT) images.The proposed model consists of two essential components: 1) non-local feature aggregation module(NFAM) that integrates visual features from tumor and lymph nodes at both local and global scales, 2) graph-based spatial interaction module(GSIM) that explores the latent contextual interactions between tumors and lymph nodes.The experimental results demonstrate that our model achieves superior performance compared to state-of-the-art survival prediction methods, emphasizing its robust predictive capability. …”
Get full text

A lightweight CNN-LSTM hybrid model for land cover classification in satellite imagery by Nowshad Hasan, Md. Saiful Islam

“…Then, the CNN component extracts spatial features from the images using a lightweight structure consisting of two convolutional layers with 0.202 million parameters. …”
Get full text

Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information by Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Get full text

REGRESSION MODELS OF INDIVIDUAL LINEAR DIMENSIONS NECESSARY FOR CONSTRUCTING THE CORRECT FORM OF DENTAL ARCH IN YOUNG WOMEN WITH A WIDE FACE, DEPENDING ON THE FEATURES OF ODONTOMET... by М. М. Shinkaruk-Dykovytska, T. P. Pozur, S. V. Koliadenko, V. O. Orlovskiy, G. M. Galunko

Get full text

Application of Fast Kurtosis Spectrum in Fault Feature Extraction of Compound Planetary Gear by Wu Shoujun Feng Fuzhou Wu Chunzhi Ding Chuang

“…Fast kurtosis specturm has fast detection ability for transient impulse signal and is widely used in fault feature extraction of rotating machinery. A process of extracting mechanical fault feature based on fast computation of kurtogram is proposed and which is applied to the fault feature extraction of composite planetary gears of a tank gearbox. …”
Get full text

Fish Detection in Fishways for Hydropower Stations Using Bidirectional Cross-Scale Feature Fusion by Junming Wang, Yuanfeng Gong, Wupeng Deng, Enshun Lu, Xinyu Hu, Daode Zhang

“…Finally, the performance of the fish detection model is demonstrated based on the Fish26 dataset, in which the detection accuracy, computational cost, and parameter count are significantly optimized by 1.7%, 23.4%, and 24%, respectively, compared to the state-of-the-art model. …”
Get full text

Breast Cancer Diagnosis Using Bagging Decision Trees with Improved Feature Selection by Deepak Dudeja, Ajit Noonia, S. Lavanya, Vandana Sharma, Varun Kumar, Sumaiya Rehan, R. Ramkumar

“…The random forest method used bagging techniques for selecting data points, and feature optimization was also carried out. Through our experiments, it has been found that the results obtained with the bagging trees algorithm outperform the result obtained with the best decision tree parameters. …”
Get full text