A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. Variational methods like active contours provide geometric priors and theoretical interpretability but require manual initialization and are sensitive to hyper-parameters. …”
Get full text

A cross-sectional study of different rheumatic diseases and their respective comorbidities at a tertiary care hospital in India by Baikan Saiteja Yadav, Arindam Nandy Roy, Syeda Sana Fatima

“…Early detection of such co-morbid condition is helpful should be an integral part of rheumatology patient care.…”
Get full text

The Practice of Community-Based Forest Management in Northwest Ethiopia by Tesfaye Mengie, László Szemethy

“…The CBFM project in the northwest part of Ethiopia have facilitated biodiversity protection and environmental resilience by integrating local perspectives with broader developmental goals. …”
Get full text

A field theory representation of sum of powers of principal minors and physical applications by Morteza Nattagh Najafi, Abolfazl Ramezanpour, Mohammad Ali Rajabpour

“…We further develop three mean field techniques to approximate SPPM, each providing unique perspectives and utilities: the first method focuses on the evolution of symmetries post-mean field approximation, the second, based on the bosonic representation, enhances our understanding of the stability of mean field results, and the third employs a variational approach to establish a lower bound for SPPM. …”
Get full text

Bias-field digitized counterdiabatic quantum optimization by Alejandro Gomez Cadavid, Archismita Dalal, Anton Simen, Enrique Solano, Narendra N. Hegade

“…We introduce a method for solving combinatorial optimization problems on digital quantum computers, where we incorporate auxiliary counterdiabatic (CD) terms into the adiabatic Hamiltonian, while integrating bias terms derived from an iterative digitized counterdiabatic quantum algorithm. …”
Get full text

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment by Aravam Babu, A. Bagubali

“…Extensive experiments on benchmark datasets confirm that the proposed method achieves higher anomaly detection efficiency with a lower error rate than existing methods. …”
Get full text

Genetic diversity and phylogenetic relationships of Calotes and Uromastyx in the Cholistan Desert, Pakistan, based on COI gene analysis. by Javed Hussain, Gulnaz Afzal, Muhammad Zeshan Haider, Iram Qadeer, Shazia Perveen, Hafiz Ishfaq Ahmad, Ahmed A El-Mansi, Abdelalim A Gadallah, Kasim Sakran Abass

“…We employed a combination of distance-based (p-distance, K2P) and phylogenetic methods (Maximum Likelihood, Bayesian Inference) to evaluate genetic diversity and evolutionary relationships. …”
Get full text

Seismic prediction technology for thin sandstone reservoir of Dainan Formation in Majiazui Oilfield by CHEN Hongcai, LI Zhaorui

“…The reservoirs exhibit thin vertical thickness and rapid lateral distribution changes, demanding high precision in reservoir prediction, which conventional seismic inversion methods struggle to meet. To address this challenge, the waveform indication simulation method was employed for thin reservoir prediction in the study area. …”
Get full text

Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysis. by Claudia Bühnemann, Simon Li, Haiyue Yu, Harriet Branford White, Karl L Schäfer, Antonio Llombart-Bosch, Isidro Machado, Piero Picci, Pancras C W Hogendoorn, Nicholas A Athanasou, J Alison Noble, A Bassim Hassan

“…Driven by genomic somatic variation, tumour tissues are typically heterogeneous, yet unbiased quantitative methods are rarely used to analyse heterogeneity at the protein level. …”
Get full text

O perspectivă inedită asupra romanului latin by Carmen-Nicola Jumara

“…Forster provides a new image, a study method more appropriate for the human possibilities; it’s the image of all the novel writers writing their novels in the same time. …”
Get full text

Clinical information prompt-driven retinal fundus image for brain health evaluation by Nuo Tong, Ying Hui, Shui-Ping Gou, Ling-Xi Chen, Xiang-Hong Wang, Shuo-Hua Chen, Jing Li, Xiao-Shuai Li, Yun-Tao Wu, Shou-Ling Wu, Zhen-Chang Wang, Jing Sun, Han Lv

“…Results The proposed framework yielded average RMSE, PSNR, and SSIM values of 98.23, 35.78 dB, and 0.64, respectively, which significantly outperformed 5 other methods: multi-channel Variational Autoencoder (mcVAE), Pixel-to-Pixel (Pixel2pixel), transformer-based U-Net (TransUNet), multi-scale transformer network (MT-Net), and residual vision transformer (ResViT). …”
Get full text

Research on Climate Drivers of Ecosystem Services’ Value Loss Offset in the Qinghai–Tibet Plateau Based on Explainable Deep Learning by Wenshu Liu, Chang You, Jingbiao Yang

“…To address these challenges, this study focuses on the QTP and employs a modified ESV loss deviation model, integrated with explainable deep learning techniques (LSTM-SHAP), to quantify and analyze ESV loss deviations and their climate drivers from 1990 to 2030. …”
Get full text

Delay Estimation in Networks with Cooperative Arrival Dynamics by O. А. Markelov, N. S. Tymchenko, M. I. Bogachev

“…Development of an improved model for estimation of aggregated traffic delays in highly loaded networks taking into account statistical characteristics of interrelations between activity fluctuations in nodes and channels of the network.Materials and methods. A superstatistical approach is applied to analytically correct the Kingman formula for estimating the waiting time based on the calculation of the coefficients of variation of arrival intensities and mutual correlations between the intensities of the traffic generated by different nodes. …”
Get full text

Interventions to improve mental health and well-being in care-experienced children and young people aged less than 25: the CHIMES systematic review by Rhiannon Evans, Sarah MacDonald, Robert Trubey, Jane Noyes, Michael Robling, Simone Willis, Soo Vinnicombe, Maria Boffey, Charlotte Wooders, Asmaa El-Banna, GJ Melendez-Torres

“…This approach entailed method-specific syntheses conducted in a complementary manner, which were subsequently integrated into a further review-level synthesis. …”
Get full text

A novel on-line dual sensing system for soil property measurement and mapping by Rukayat Afolake Oladipupo, Muhammad Abdul Munnaf, Parsat Sanganta, Ajit Borundia, Abdul Mounem Mouazen

“…The aim of this study is to use an integrated on-line dual-sensor system of vis-NIRS and ISE to estimate and map within-field variation in multiple soil fertility parameters including pH, organic carbon (OC), extractable- phosphorus (P), potassium (K), calcium (Ca), moisture content (MC) and nitrate-N. …”
Get full text

S3FCD: a single-temporal self-supervised learning framework for remote sensing image change detection by Wenqian Lv, Nian Shi, Keming Chen, Guangyao Zhou, Chunlei Huo

“…Existing deep learning-based change detection methods achieve high performance by utilizing annotated and registered bi-temporal images. …”
Get full text

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…The method integrates multi-frequency sequence feature analysis and multi-point correction using the FEDformer model. …”
Get full text

Methodology for Human–Robot Collaborative Assembly Based on Human Skill Imitation and Learning by Yixuan Zhou, Naisheng Tang, Ziyi Li, Hanlei Sun

“…This method adaptively models the topological relationships among muscle groups, enabling high-precision three-dimensional dynamic arm force estimation. …”
Get full text

A study of the response dynamics of a Helmholtz resonator and its application in acoustic energy harvesting by K.A. Omoteso, R. Marjani, O. Ozioko, O. Bagdasar, T.O. Roy-Layinde, U.H. Diala

“…The variation of the resonant frequency of the HR device, with its geometry, was studied, which facilitated the investigation of the response dynamics of the system, using numerical, analytical, and experimental methods. …”
Get full text

Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

“…This paper proposes a learning model named CECSVB-LSTM, which integrates several advanced techniques: a bidirectional long short-term memory (BILSTM) network, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), variational mode decomposition (VMD), and the Sparrow Search Algorithm (CSSSA) incorporating circle chaos mapping and the Sine Cosine Algorithm. …”
Get full text