State-of-the-art review of probabilistic seismic hazard analysis in Nepal: status, challenges, and recommendations by Kabin Lamichhane, Samana Bhattarai, K. C. Rajan, Keshab Sharma, Richa Pokhrel

“…This variation underscores the need for a critical evaluation of existing studies to identify the underlying factors driving these differences in hazard predictions and to provide informed guidance on the most appropriate estimates for practical application. …”
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Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators by Romulo Vieira, Phil Kollmeyer, Lea Pitault, Ali Emadi

“…Ten different measurement offset error values are added to the data, capturing sensor error that may be present in the vehicle, and incorrect initial SoC estimates are also considered. The computational efficiency and memory requirements of each algorithm when deployed on an NXPő S32K146 Evaluation Board and NXPő GreenBox 3 Real-Time development platform were also explored, which is critical for real-time applications in vehicle control units. …”
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Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods by Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan

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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…Stagnation remains a persistent challenge in optimization with metaheuristic algorithms (MAs), often leading to premature convergence and inefficient use of the remaining evaluation budget. This study introduces <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula>, a novel meta-level strategy that externally monitors MAs to detect stagnation and adaptively partitions computational resources. …”
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Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks by Aryaman Tamotia, Dhruv Shantu Karmokar, Rethi Komal, K. Khadar Nawas, A. Shahina, A. Nayeemulla Khan

“…Although the classical deep learning methods are effective, they have rather high computational cost, which leads to usually cumbersome parameter tuning processes and hence reduce their applicability to real-world deployments. …”
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Enhancing neurocognitive rehabilitation with smart cubes: Design, technology, and programmable games by Jaroslav Vondrak, Vladimir Kasik, Jan Grepl, Terezie Kuboskova, Martin Augustynek, Jan Kubicek, Tereza Benešová, Petr Nilius

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Enhancing Immoral Post Detection on Social Networks Using Knowledge Graph and Attention-Based BiLSTM Framework by Bibi Saqia, Khairullah Khan, Atta Ur Rahman, Sajid Ullah Khan, Mohammed Alkhowaiter, Wahab Khan, Ashraf Ullah

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FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence by Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…Each client&#x2019;s contribution is scaled using a fairness score computed from key metrics Demographic Parity (DP), Statistical Parity Difference (SPD), and Disparate Impact Ratio (DIR). …”
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FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fresh fruit and vegetable identification with web interface and customized blind glasses for visually impaired indivi... by Khondokar Oliullah, Md. Reazul Islam, Jahirul Islam Babar, M.A. Nur Quraishi, Md. Mahbubur Rahman, Md. Mahbub-Or-Rashid, T.M. Amir-Ul-Haque Bhuiyan

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Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…TEAHR keeps the network connected, even when the nodes are isolated due to trust misbehavior, and demonstrates that widely it reduces the chances of misjudgment in trust evaluation. Moreover, we explore the scalability of TEAHR across large networks as well as its performance in computationally constrained contexts. …”
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ANALYSIS OF PATIENTS’ EXAMINATION WITH UNSATISFACTORY ORTHOPEDIC TREATMENT RESULTS OF HARD TISSUES OF TEETH AND DENTAL ROWS OF NON-REMOVABLE DENTURES by I.N. Yarina

“…To identify the causes of complications of orthopedic treatment, a clinical examination of patients with unsatisfactory results of treatment with permanent constructions of dentures on a cast base was performed. The criteria for evaluation were the following indicators: bad breath, gums pain and bleeding, pain and mobility of the supporting teeth, pain under the intermediate part, metallic taste, pain in the blood vessel, darkening of the lining, chipping the lining, obscuring gums, excessive abrasion, and cleavage. …”
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Determination of Fast-Moving Objects’ Speed and Range with Linear Frequency Modulation Continuous Wave Radar Using Autocorrelation Scheme by N. V. Sokolik

“…The algorithm has been developed to determine the speed and the range of fast-moving objects in conditions when their movement during the evaluation interval significantly exceeds the radar range resolution. …”
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The variable "Jung" as a predictor of mortality in patients with pulmonary edema by Jung Robert, Ivanović Vladimir, Potić Zoran, Panić Gordana, Petrović Milovan, Pavlović Katica, Čemerlić-Ađić Nada, Baškot Branislav

“…Data were put into the personal computer. The variable “Jung” was used: (systolic bloog pressure/heart rate × age) × 100. …”
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Diagnostic Accuracy of Color Doppler in Peripheral Artery Occlusive Disease by Sarah Nishat, H K Shrivastava, Manoj Gopinath, Ganesh Saravagi, Deepak Bindal, Nitesh Yadav

“…It may also determine the significance of equivocal lesions of peripheral arterial occlusive disease (PAD) identified by computed tomography (CT) angiography. A combination of duplex ultrasonography (USG) with CT angiography has better diagnostic accuracy.The rationale behind conducting the study is to determine whether duplex USG is a reliable modality for the evaluation of arterial occlusive disease of lower extremity compared to CT angiography. …”
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Wearable armband with a floating mobile exploratory electrode at fingertip for on-demand touch-and-measure multilead electrocardiography by Saygun Guler, Emre Aslanger, Murat Kaya Yapici

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Low-molecular-weight heparin in the prevention of venous thromboembolism among patients with acute intracerebral hemorrhage: A meta-analysis. by Haizheng Li, Zhiguo Wu, Hongyu Zhang, Baohua Qiu, Yajun Wang

“…The literature was independently screened by two authors, who also extracted data and conducted a qualitative evaluation. With regard to outcomes, their risk ratios (RRs) and 95% confidence intervals (CIs) were computed, and the findings were combined using the random effects model by using Mantel-Haenszel approach.…”
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis by Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, Sung Eun Song

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Quantifying Methane Emission Rates Using Downwind Measurements by Stuart N. Riddick

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Performance optimizing of pneumatic soft robotic hands using wave-shaped contour actuator by Hui Chen, Mohammed A.H. Ali, Zhenya Wang, Junlong Chen, Montaser N.A. Ramadan, Mohammad Alkhedher

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Spatial assessment employing fusion logistic regression and frequency ratio models to monitor landslide susceptibility in the upper Blue Nile basin of Ethiopia: Muger watershed by Samuel Hailu, Kiros Tsegay Deribew, Ermias Teferi, Mitiku Badasa Moisa, Zenebe Reta Roba, Shimelis Sishah Dagne, Muluneh Woldetsadik

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