A Fractal Curve-Inspired Framework for Enhanced Semantic Segmentation of Remote Sensing Images by Xinhua Wang, Botao Yuan, Zhuang Li, Heqi Wang

“…Finally, we introduce an aggregation layer that combines the upsampling method from the UNet series, employing the multi-scale censoring of multi-dimensional feature map outputs from various layers to efficiently capture both spatial and feature information. …”
Get full text

An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging by Leila Honari mahmod, Rahil Hosseini, Mahd Mazinani

“…The results of the system efficiency were investigated using an ROC curve analysis method. …”
Get full text

Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

“…Feature selection and optimization of input scenarios were achieved using a combination of particle swarm optimization (PSO) and manual methods. Model performance was evaluated using multiple metrics: scatter plots, kite diagrams, density distribution histograms of relative percentage error, coefficient of determination (R2), Nash–Sutcliffe efficiency coefficient (NSE), Percent of BIAS (PBIAS), coefficient of uncertainty at the 95 % confidence level (U95 %), Kling–Gupta efficiency (KGE), Willmott index of agreement (WI), and Legates and McCabe coefficient of efficiency (LME). …”
Get full text

Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits by Federica C. Maruccio, Rita Simões, Joëlle E. van Aalst, Charlotte L. Brouwer, Jan-Jakob Sonke, Peter van Ooijen, Tomas M. Janssen

“…Uncertainty maps of nnU-Net outputs were generated using Monte Carlo dropout. …”
Get full text

Using Particle Filter for Estimating Velocity of Maneuvering Target Being Tracked by Passive Radar by Anas Almanofi, Ali Kazem

“…The theoretical analysis of the proposed method is presented, and its efficiency is verified by simulating the mentioned passive radar and comparing the simulation results with the results of other researches.…”
Get full text

Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model by Vahid Nourani, Huseyin Gokcekus, Gebre Gelete

“…Based on the performance measure results, the ANFIS model provides higher efficiency than the other developed single models. Out of all developed ensemble models, the nonlinear ANFIS model combination method was found to be the most accurate method and could increase the efficiency of SVM, MLR, ANFIS, and FFNN models by 19.02%, 37%, 9.73%, and 16.3%, respectively, at the verification stage. …”
Get full text

358 Rare disease study identification (RDSI): A natural language processing assisted search and visualization tool for clinical studies of rare diseases by Michael Lin, Jennifer Weis, H M Abdul Fattah, Jungwei Fan

“…To address this gap, we applied natural language processing (NLP) and visualization techniques to develop an efficient pipeline and user-friendly web interface. …”
Get full text

Developing and integrating a destination decision support algorithm into an innovative electronic communication platform to improve injury care service coordination in Rwanda: the... by Antonio Belli, Justine Davies, Lucia D'Ambruoso, Jean Marie Uwitonze, Sudha Jayaraman, Abebe Bekele, Agnieszka Ignatowicz, Aurore Nishimwe, Jean Claude Byiringiro, Laura Quinn, Barnabas Tobi Alayande, Jean Nepomuscene Sindikubwabo, Didier Hagumimana, Fabien Hagenimana, Gilbert Rukundo, Ephrem Daniel Sheferaw, Oda Munyura, Rob Rickard, Philbert Muhire, Irene Bagahirwa, Jeanne d’Arc Nyinawankusi, Collins Inkotanyi, Assuman Nuhu

“…Like many low-income or middle-income countries, Rwanda experiences delays related to a lack of efficient prehospital communication and formal guidelines to triage patients for hospital care. …”
Get full text

Nested Bi-level scheduling strategy for energy storage systems in hybrid microgrid considering uncertainties of battery dynamic performances by Jiazhi Lei, Zhao Liu

“…Firstly, the uncertainties in dynamic performances caused by fitting error including efficiencies, self-discharge rate, cycle life and capacity fading were modeled by interval method and probability distribution method. …”
Get full text

A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

“…Unlike conventional ensemble methods that combine the final outputs of independent models, this paper introduces a novel sub-network-level ensemble approach which integrates neurons, layers, and blocks within a single network. …”
Get full text

Improving the Dynamics of an Electrical Drive Using a Modified Controller Structure Accompanied by Delayed Inputs by Konrad Urbanski, Dariusz Janiszewski

“…The modification involves adding a delay line, with the outputs of the individual line segments summed with a weighting method, as detailed in the paper. …”
Get full text

Noise immunity of QAM-OFDM signal reception using soft-decision demodulation in the presence of narrowband interference by A. A. Paramonov, V. V. Chu

“…As a way of managing this interference, the paper studies the use of a demodulator with soft outputs and subsequent decoding of the convolutional code and low-density paritycheck (LDPC) code used in the system.Methods. …”
Get full text

Optimizing cyanobacterial hydrogen production: metabolic and genetic strategies with glycerol supplementation by Ayshat M. Bozieva, Makhmadyusuf K. Khasimov, Mahipal S. Rao, Maria A. Sinetova, Roman A. Voloshin, Dmitry O. Dunikov, Dmitry O. Dunikov, Anatoly A. Tsygankov, Yoong Kit Leong, Yoong Kit Leong, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Barry D. Bruce, Barry D. Bruce, Barry D. Bruce

“…However, improving hydrogen yields requires strategic metabolic and genetic modifications to optimize energy flow and overcome photosynthetic limitations.MethodsFour cyanobacterial species were evaluated for their hydrogen production capacities under varying experimental conditions. …”
Get full text

Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

“…This method preserves the physical relationships between input variables, modularizes geometric and positional input data, and outputs the spectral response. …”
Get full text

Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study by Taizo Matsuki, Sho Nakamura, Minami Nishiyama, Hiroto Narimatsu

“…DEA was employed to calculate an efficiency score for each participant, incorporating multiple inputs (lifestyle factors) and outputs (gut microbiotas). …”
Get full text

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024 by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Lateef Babatunde Amusa, Hossana Twinomurinzi, Refilwe Nancy Phaswana-Mafuya

“…Machine learning and health technologies can precisely predict high-risk individuals and facilitate more effective and efficient HIV testing methods. Despite this advancement, there exists a research gap regarding the extent to which such technologies are integrated into HIV testing strategies worldwide. …”
Get full text

Geometry-Constrained Learning-Based Visual Servoing with Projective Homography-Derived Error Vector by Yueyuan Zhang, Arpan Ghosh, Yechan An, Kyeongjin Joo, SangMin Kim, Taeyong Kuc

“…The uniform magnitude of the error vector elements simplifies neural network input normalization, thereby enhancing online training efficiency. Furthermore, we incorporate geometric constraints between feature points (such as collinearity preservation) into the network update process, ensuring that model predictions conform to the fundamental principles of projective geometry and eliminating physically impossible control outputs. …”
Get full text

Retrospective Analysis of Tooth Preparation Done by Postgraduate Trainees for Monolithic Zirconia Restorations by Sourav Maji, Sayan Majumdar, Samiran Das, Sreya Kundu, Soumadip Niyogi, Shubhabrata Roy, Jayanta Bhattacharyya, Soumitra Ghosh

“…Monitoring the tooth preparations of postgraduate prosthodontic trainees is an important component of auditing a dental school’s output and can provide valuable insights into the efficiency of trainees in executing tooth preparations. …”
Get full text

Revisión de los planes de vigilancia ambiental y siniestralidad en parques eólicos del País Vasco by Alvaro Camiña Cardenal, Nana Vicente Illoro, Justo Martín Martín

“…We studied four wind farms which have a total output of 153.3MW and 153 turbines. Between 1999 and 2023, 829 bird and 28 bat fatalities were recorded, involving 80 and 6 species, respectively. …”
Get full text

Experimental Studies of Adsorption Desalination Systems: Current Research, Development and Future Prospects by Amirhossein Amirfakhraei, Maryam Ghorbanzadeh, Mohsen Salimi, Majid Amidpour, Taleb Zarei

“…Recent advancements in adsorbent materials, including the Al-Fumarate MOF, which has a production capacity of 23.5 m3/tonne/day, as well as the development of hybrid systems (for example, AD combined with multiple-effect distillation (MED)), have shown significant performance improvements, achieving outputs 2–5 times higher. Furthermore, heat recovery techniques have enhanced the efficiency of these systems. …”
Get full text