Advancements in seasonal rainfall forecasting: A seasonal auto-regressive integrated moving average model with outlier adjustments for Ghana's Western Region by Francis Ayiah-Mensah, Senyefia Bosson-Amedenu, Emmanuel Mensah Baah, John Awuah Addor

“…This study's methodology and findings contribute to enhanced rainfall prediction capabilities, assisting local stakeholders in climate-resilient agricultural planning and water resource management. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Moreover, applications to real-world surveillance data on COVID-19 illustrate the practical advantages of the proposed method. These findings highlight the method’s robustness and efficiency in scenarios where data contamination from secondary or tertiary infections is common, showing its potential value for early outbreak detection and rapid epidemiological response.…”
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Sound Localization Training and Induced Brain Plasticity: An fMRI Investigation by Ranjita Kumari, Sukhan Lee, Pradeep Kumar Anand, Jitae Shin

“…These regions are associated with cognitive processes such as auditory processing, spatial working memory, planning, decision-making, error detection, and motor control. Conversely, a decrease in activation was observed in the left middle temporal gyrus, a region linked to language comprehension and semantic memory. …”
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GazeCapsNet: A Lightweight Gaze Estimation Framework by Shakhnoza Muksimova, Yakhyokhuja Valikhujaev, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…This framework not only eliminates the need for facial landmark detection but also significantly enhances real-time operability on mobile devices. …”
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Upgrading a Low-Cost Seismograph for Monitoring Local Seismicity by Ioannis Vlachos, Marios N. Anagnostou, Markos Avlonitis, Vasileios Karakostas

“…Specifically, the proposed system achieved a mean error of ±0.087 when benchmarked against the data collected by the high-cost commercial seismograph. …”
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Targeted Sequencing of Lung Function Loci in Chronic Obstructive Pulmonary Disease Cases and Controls. by María Soler Artigas, Louise V Wain, Nick Shrine, Tricia M McKeever, UK BiLEVE, Ian Sayers, Ian P Hall, Martin D Tobin

“…For this reason we employed a rigorous quality control pipeline for variant detection which included the use of 3 independent calling algorithms. …”
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Diagnostic model for COPD patients with nocardia infection: a study based on clinical features and risk factors by Kai Zhang, Kangli Yang, Hongmin Wang

“…Conclusion: This validated nomogram provides a clinically actionable tool for early Nocardia detection in COPD patients, addressing a critical diagnostic gap. …”
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Acoustic Fabry–Perot Resonance Detector for Passive Acoustic Thermometry and Sound Source Localization by Yan Yue, Zhifei Dong, Zhi-mei Qi

“…The findings open up a new avenue for the development of multifunctional acoustic detection devices and systems.…”
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Differentiation of COVID-19 from other types of viral pneumonia and severity scoring on baseline chest radiographs: Comparison of deep learning with multi-reader evaluation. by Nastaran Enshaei, Arash Mohammadi, Farnoosh Naderkhani, Nick Daneman, Rawan Abu Mughli, Reut Anconina, Ferco H Berger, Robert Andrew Kozak, Samira Mubareka, Ana Maria Villanueva Campos, Keshav Narang, Thayalasuthan Vivekanandan, Adrienne Kit Chan, Philip Lam, Nisha Andany, Anastasia Oikonomou

“…The severity-scoring module exhibited a high Pearson correlation of 93% and a low mean absolute error (MAE) of 2.35 compared to the radiologists' consensus. …”
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Enhancing LiDAR Mapping with YOLO-Based Potential Dynamic Object Removal in Autonomous Driving by Seonghark Jeong, Heeseok Shin, Myeong-Jun Kim, Dongwan Kang, Seangwock Lee, Sangki Oh

“…In this study, we propose an enhanced LiDAR-based mapping and localization system that utilizes a camera-based YOLO (You Only Look Once) algorithm to detect and remove dynamic objects, such as vehicles, from the mapping process. …”
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Association of Osteopontin (OPN) Level in Diabetic Nephropathy Patients as an Early Diagnostic Marker by Anwar Shahzad, Khalil Ur Rahman, Yasir Hamayun, Henna Khalid, Mariam Riaz

“… OBJECTIVES The study aimed to find an association between OPN levels and diabetic nephropathy as a serum marker in DM patients for early detection. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…&#x201D; Statistical testing validated the robustness of the technique, while sensitivity analysis identified optimal hyperparameter combinations. The findings indicate significant improvement in parking management via accurate prediction of occupancy trends, identification of peak demand, and detection of payment and violation issues. …”
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Development of automatic insect-tracking robot system for measuring local activity changes in free walking by Ryoko Sekiwa, Tatsuya Ibuki, Shunsuke Shigaki

“…The robot tracks the insect with an error margin of less than 5 mm, recording the EAG responses associated with the olfactory reception during this process. …”
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Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor by Paolo Tasca, Francesca Salis, Samanta Rosati, Gabriella Balestra, Claudia Mazza, Andrea Cereatti

“…The stride detector achieved high detection rate (F1-score &#x003E; 92%) and accuracy (mean absolute error &#x003C; 40 ms). …”
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Simulation of Ground Visibility Based on Atmospheric Boundary Layer Data Using K-Nearest Neighbors and Ensemble Model Algorithms by Ruolan Liu, Shujie Yuan, Duanyang Liu, Lin Han, Fan Zu, Hong Wu, Hongbin Wang

“…In the second fog event, the addition of atmospheric pollutant concentration data from the boundary layer further improved results (ensemble model: for VIS < 200 m, Schemes 2 and 3 had MAEs of 20.1 m, corresponding to a relative error of less than 10.1%, and 11.4 m, corresponding to a relative error of less than 5.7%, respectively). …”
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The effect of blended learning on tacking technique improvement in preteen sailing by Mohamed Abdelkader Souissi, Linda Toumi, Omar Trabelsi, Ismail Dergaa, Ahmed Ghorbel, Adnene Gharbi, Katja Weiss, Thomas Rosemann, Nizar Souissi, Beat Knechtle

“…Evaluations focused on (i) tacking technique, rated by three sailing coaches, (ii) execution time measured using Kinovea software, and (iii) theoretical knowledge, assessed through a test involving error detection in a novice’s video. Statistical analyses revealed that the BLIV group demonstrated significant improvements at T1 in technical performance (p < 0.001, Hedges’ g = 2.71), execution time (p = 0.006, Hedges’ g = 1.14), and theoretical knowledge (p < 0.001, Hedges’ g = 1.98), outperforming the BLI and CONT groups in tacking performance. …”
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Advancing Perimeter Security: Integrating DAS and CNN for Object Classification in Fiber Vicinity by Adrian Tomasov, Pavel Zaviska, Petr Dejdar, Ondrej Klicnik, Francesco da Ros, Tomas Horvath, Petr Munster

“…The system successfully differentiates events such as vehicle movement, fence manipulation, and construction work, while anomaly detection capabilities further enhance security by identifying irregular activities with minimal error. …”
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Deep Learning Models and Fusion Classification Technique for Accurate Diagnosis of Retinopathy of Prematurity in Preterm Newborn by Nazar Salih, Mohamed Ksantini, Nebras Hussein, Donia Ben Halima, ali Abdul Razzaq, Sohaib Ahmed

“…This shows that the proposed method helps identify ROP in premature infants. The study's findings imply the proposed method has the potential to significantly enhance the precision and speed with which ROP is diagnosed, which in turn could lead to earlier detection and treatment of the illness and a decreased likelihood of childhood blindness. …”
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Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing by Muhammad Punhal Sahto, Wang Wei, Muhammad Fawad Jamil, Awais Mehmood, Mariyam Sattar, Asif Raza, Mujib Ur Rahman, Mumtaz A. Qaisrani

“…A dual-path X-ray imaging detection system was used for experimental validation. …”
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Cybersecurity in Connected and Autonomous Vehicles: A Systematic Review of Automotive Security by Rafael Abreu, Frederico Branco, Manuel J. Cabral S. Reis, Carlos Serodio

“…Providing awareness and training is also essential to mitigate human error. These findings are a foundation for designing more resilient and secure Connected and Autonomous Vehicles systems.…”
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