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๐Ÿ” israel ๐Ÿ“‚ Engineering
Showing 26 results for "israel" in Engineering
Engineering Preprint PDF DOI

Real-time Range-Angle Estimation and Tag Localization for Multi-static Backscatter Systems

Tara Esmaeilbeig, Kartik Patel, Traian E. Abrudan, John Kimionis, Eleftherios Kampianakis, Michael S. Eggleston ยท 2026

Multi-static backscatter networks (BNs) are strong candidates for joint communication and localization in the ambient IoT paradigm for 6G. Enabling real-time localization in large-scale multi-static dโ€ฆ

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Engineering Preprint PDF DOI

Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation

Zhen Yang, Yansong Ma, Lei Chen ยท 2025

Trustworthy medical image segmentation aims at deliver accurate and reliable results for clinical decision-making. Most existing methods adopt the evidence deep learning (EDL) paradigm due to its compโ€ฆ

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Engineering Preprint PDF DOI

ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition

You Zhou, Lijiang Chen, Guangxia Cui, Wenpei Bai, Yu Guo, Shuchang Lyu, Guangliang Cheng, Qi Zhao ยท 2025

Ovarian tumor, as a common gynecological disease, can rapidly deteriorate into serious health crises when undetected early, thus posing significant threats to the health of women. Deep neural networksโ€ฆ

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Engineering Preprint PDF DOI

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

Meishar Meisel, Benjamin A. Cohen, Meital Baskin, Beatrice Tiosano, Joachim A. Behar, Eran Berkowitz ยท 2025

The Hillel Yaffe Age Related Macular Degeneration (HYAMD) dataset is a longitudinal collection of 1,560 Digital Fundus Images (DFIs) from 325 patients examined at the Hillel Yaffe Medical Center (Hadeโ€ฆ

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Engineering Preprint PDF DOI

PEDRO-V: From a concurrent engineering case study to a promising phase zero mission definition

Domenico D'Auria, Arianna Rigo, Luca Niero, Andrei-Toma Stoica, Vito Costantini, Pasquale Castellano, Zsofia Zita Szilagyi, Nishani Vijayakumaran, Ella Toppari, Stefano Schiano, Marco Adorno, Matteo Matrone, Chiara Tulli, Jan Kurowski, Leo Bougault, Argenziano Francesco, Antignano Claudia, Theodoros Roumanis, Victoria Kossack, Spyridon Giuvalas ยท 2025

Each year, the European Space Agency (ESA) organizes challenges for university students, from BSc to PhD levels. The ESA Concurrent Engineering Challange 2024 was hosted by four Concurrent Design Faciโ€ฆ

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Engineering Preprint PDF DOI

Leveraging Bitcoin Mining Machines in Demand-Response Mechanisms to Mitigate Ramping-Induced Transients

Elinor Ginzburg-Ganz, Ittay Eyal, Ram Machlev, Dmitry Baimel, Leena Santosh, Juri Belikov, Yoash Levron ยท 2024

We propose an extended demand response program, based on ancillary service for supplying flexible electricity demand. In our proposed scheme, we suggest a broader management model to control the schedโ€ฆ

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Engineering Preprint PDF DOI

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale

Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, Cathy Wu ยท 2024

The sheer scale and diversity of transportation make it a formidable sector to decarbonize. Here, we consider an emerging opportunity to reduce carbon emissions: the growing adoption of semi-autonomouโ€ฆ

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Engineering Preprint PDF DOI

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks

Zirui Xu, Sandilya Sai Garimella, Vasileios Tzoumas ยท 2024

We provide a communication- and computation-efficient method for distributed submodular optimization in robot mesh networks. Submodularity is a property of diminishing returns that arises in active inโ€ฆ

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Engineering Preprint PDF DOI

Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study

Platon Lukyanenko, Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William G. La Cava ยท 2024

Artificial intelligence applied to electrocardiography (AI-ECG) shows potential for mortality prediction, but heterogeneous approaches and private datasets have limited generalizable insights. To addrโ€ฆ

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Engineering Preprint PDF DOI

Predicting Generalization of AI Colonoscopy Models to Unseen Data

Joel Shor, Carson McNeil, Yotam Intrator, Joseph R Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg ยท 2024

$\textbf{Background}$: Generalizability of AI colonoscopy algorithms is important for wider adoption in clinical practice. However, current techniques for evaluating performance on unseen data requireโ€ฆ

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Engineering Preprint PDF DOI

System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel

Laurent Pagnier, Criston Hyett, Robert Ferrando, Igal Goldshtein, Jean Alisse, Lilah Saban, Michael Chertkov ยท 2023

Faced with the complexities of managing natural gas-dependent power system amid the surge of renewable integration and load unpredictability, this study explores strategies for navigating emergency trโ€ฆ

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Engineering Preprint PDF DOI

Prediction of sunflower leaf area at vegetative stage by image analysis and application to the estimation of water stress response parameters in post-registration varieties

Pierre Casadebaig (INRAE), Nicolas Blanchet (INRAE), Nicolas Bernard Langlade (INRAE) ยท 2023

The automatic measurement of developmental and physiological responses of sunflowers to water stress represents an applied challenge for a better knowledge of the varieties available to growers, but aโ€ฆ

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Engineering Preprint PDF DOI

Machine Learning for Ranking f-wave Extraction Methods in Single-Lead ECGs

Noam Ben-Moshe, Shany Biton, Kenta Tsutsui, Mahmoud Suleiman, Leif Sornmo, Joachim A. Behar ยท 2023

Introduction: The presence of fibrillatory waves (f-waves) is important in the diagnosis of atrial fibrillation (AF), which has motivated the development of methods for f-wave extraction. We propose aโ€ฆ

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Engineering Preprint PDF DOI

Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges

Sharief Saleh, Qamar Bader, Malek Karaim, Mohamed Elhabiby, Aboelmagd Noureldin ยท 2023

Achieving the highest levels of autonomy within autonomous vehicles (AVs) requires a precise and dependable positioning solution that is not influenced by the environment. 5G mmWave signals have been โ€ฆ

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Engineering Preprint PDF DOI

Designing Socially Assistive Robots: Exploring Israeli and German Designers' Perceptions

Ela Liberman-Pincu, Oliver Korn, Jonas Grund, Elmer D. van Grondelle, Tal Oron-Gilad ยท 2023

Socially assistive robots (SARs) are becoming more prevalent in everyday life, emphasizing the need to make them socially acceptable and aligned with users' expectations. Robots' appearance impacts usโ€ฆ

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Engineering Preprint PDF DOI

Proceedings of the 3rd International Workshop on Autonomous Systems Safety

Christoph Thieme, Marilia Ramos, Ingrid B. Utne, Ali Mosleh ยท 2023

The International Workshop for Autonomous System Safety (IWASS) is a joint effort by the B. John Garrick Institute for the Risk Sciences at the University of California Los Angeles (UCLA-GIRS) and theโ€ฆ

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Engineering Preprint PDF DOI

5G Multi-BS Positioning: A Decentralized Fusion Scheme

Sharief Saleh, Qamar Bader, Mohamed Elhabiby, Aboelmagd Noureldin ยท 2023

Fifth-generation (5G) networks are expected to provide high-precision positioning estimation utilizing mmWave signals in urban and downtown areas. In such areas, 5G base stations (BSs) will be denselyโ€ฆ

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Engineering Preprint PDF DOI

Intelligent and Secure Radio Environments for 6G Vehicular Aided HetNets: Key Opportunities and Challenges

Wali Ullah Khan, Muhammad Awais Javed, Sherali Zeadally, Eva Lagunas, Symeon Chatzinotas ยท 2022

Reconfigurable meta-surfaces are emerging as a novel and revolutionizing technology to enable intelligent wireless environments. Due to the low cost, improved efficiency, and passive nature of reflectโ€ฆ

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Engineering Preprint PDF DOI

Model predictive eco-driving control for heavy-duty trucks using Branch and Bound optimization

B. Wingelaar, G. R. Goncalves da Silva, M. Lazar ยท 2022

Eco-driving (ED) can be used for fuel savings in existing vehicles, requiring only a few hardware modifications. For this technology to be successful in a dynamic environment, ED requires an online reโ€ฆ

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Engineering Preprint PDF DOI

Deep Learning for Sleep Stages Classification: Modified Rectified Linear Unit Activation Function and Modified Orthogonal Weight Initialisation

Akriti Bhusal, Abeer Alsadoon, P.W.C. Prasad, Nada Alsalami, Tarik A. Rashid ยท 2022

Background and Aim: Each stage of sleep can affect human health, and not getting enough sleep at any stage may lead to sleep disorder like parasomnia, apnea, insomnia, etc. Sleep-related diseases coulโ€ฆ

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