Processing and Characterization of High-Density Fe-Silicide/Si Core–Shell Quantum Dots for Light Emission by Katsunori Makihara, Yuji Yamamoto, Markus Andreas Schubert, Andreas Mai, Seiichi Miyazaki

“…Si-based photonics has garnered considerable attention as a future device for complementary metal–oxide–semiconductor (CMOS) computing. However, few studies have investigated Si-based light sources highly compatible with Si ultra large-scale integration processing. …”
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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

“…A continuum of computing including local, edge, and cloud tiers would offer a promising solution for medical image processing. …”
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Comprehensive Review on the Exploitation of Advanced Memory Optimization Strategies to Improve Performance for Convolutional and Spiking Neural Networks in Medical Imaging Using Ha... by N. Srikanth Prasad, S. Sundar

“…It will analyze techniques like memory compression, tiling, hierarchical memory management, and neural network pruning to improve computation efficiency. In addition, in-memory computing will be a key focus to mitigate the inefficiency of data movement, adaptability of Field-Programmable Gate Array (FPGA) for custom workloads, parallel processing by Graphics Processing Unit (GPU), and domain-specific optimizations of Application-Specific Integrated Circuit (ASIC). …”
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From Light to Logic: Recent Advances in Optoelectronic Logic Gate by Woochul Kim, Dante Ahn, Minz Lee, Namsoo Lim, Hyeonghun Kim, Yusin Pak

“…By summarizing current research and proposing future directions, this review aims to guide the ongoing development of next‐generation optoelectronic architectures, poised to redefine the landscape of optical computing, communication, and data processing.…”
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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…The rapid adoption of Internet of Things (IoT) devices and Edge computing has increased the demand for efficient processing of high-frequency sensor data. …”
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Fault Detection and Fault Diagnosis in Power System Using AI: A Review by syeda Faiza Nasim, Sidra Aziz, Asma Qaiser, Umme Kulsoom, Saad Ahmed

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All-optical combinational logical units featuring fifth-order cascade by Haiqi Gao, Yu Shao, Yipeng Chen, Junren Wen, Yuchuan Shao, Yueguang Zhang, Weidong Shen, Chenying Yang

“…This innovative design exhibits increased processing speed, improved energy efficiency, robust environmental stability, and high error tolerance, making it exceptionally well-suited for a broad spectrum of applications in optical computing and communications. …”
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FQsun: A Configurable Wave Function-Based Quantum Emulator for Power-Efficient Quantum Simulations by Tuan Hai Vu, Vu Trung Duong Le, Hoai Luan Pham, Quoc Chuong Nguyen, Yasuhiko Nakashima

“…Quantum computers are promising powerful computers for solving complex problems, but access to real quantum hardware remains limited due to high costs. …”
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Pulscan: Binary Pulsar Detection Using Unmatched Filters on NVIDIA GPUs by Jack White, Karel Adámek, Jayanta Roy, Scott M. Ransom, Wesley Armour

“…Next-generation radio telescopes such as the SPOTLIGHT project at the Giant Metrewave Radio Telescope (GMRT) produce data at rates that mandate real-time processing, as storage of the entire captured data set for subsequent offline processing is infeasible. …”
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Research on distributed data acquisition software for high frame rate area detectors by SHANG Kunlin, LI Zhengheng, JU Xudong, ZHOU Yue, HUAI Ping, LIU Zhi

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Cloud-Driven Data Analytics for Growing Plants Indoor by Nezha Kharraz, István Szabó

“…Built with Apache NiFi (Niagara Files), the pipeline facilitates real-time ingestion, processing, and storage of IoT sensor data measuring light, moisture, and nutrient levels. …”
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The RaDiCo information system for rare disease cohorts by Paul Landais, Sonia Gueguen, Annick Clement, Serge Amselem, for the RaDiCo Program

“…Material and methods Constructed on the cloud computing principle, the RaDiCo platform was designed to promote mutualization and factorization of processes and services, for both clinical epidemiology support and IS. …”
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Quality Management in the Faculty of Business Sciences at the José Faustino Sánchez Carrión National University: A Study Based on the Neutrosophic Linguistic 2-Tuple Model by Carlos Máximo Gonzales-Añorga, Julia Cecilia Yon-Delgado, Medalit Nieves Salcedo-Rodríguez, Mónica Rosario Yon-Delgado, Tito Edinson Quispe-Campos, Daniel Alberto Oswaldo Valenzuela-Narváez, Timoteo Solano-Armas, Viviana Inés Vellón Flores

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Flexible Natural Language-Based Image Data Downlink Prioritization for Nanosatellites by Ezra Fielding, Akitoshi Hanazawa

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Security Protection of Electrical Intelligent Sensors and Sensor Networks by Chunyan AN, Yang LU, Di ZHAI, Xueqiong ZHU

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Neuromorphic Readout for Hadron Calorimeters by Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas Ralph Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore

“…We simulate hadrons impinging on a homogeneous lead tungstate (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>PbWO</mi><mn>4</mn></msub></semantics></math></inline-formula>) calorimeter using GEANT4 software to investigate how the resulting light yield and its temporal structure, as detected by an array of light-sensitive sensors, can be processed by a neuromorphic computing system. Our model encodes temporal photon distributions as spike trains and employs a fully connected spiking neural network to estimate the total deposited energy, as well as the position and spatial distribution of the light emissions within the sensitive material. …”
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Fog-Enabled IoT Robotic System for Efficient Date Palm Monitoring in Moroccan Oases by Baghrous Mohamed, Ezzouhairi Abdellatif

“…To overcome the latency, bandwidth, and energy inefficiencies associated with cloud-based solutions, the system integrates the fog computing paradigm. Fog computing brings computational resources closer to the data source, enabling real-time processing and decision-making while reducing network congestion. …”
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Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization by Joon‐Kyu Han, Jun‐Young Park, Shania Rehman, Muhammad Farooq Khan, Moon‐Seok Kim, Sungho Kim

“…Abstract As social networks and related data processes have grown exponentially in complexity, the efficient resolution of combinatorial optimization problems has become increasingly crucial. …”
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Сomparative analysis of grading models using fuzzy logic to enhance fairness and consistency in student performance evaluation by Alibek Barlybayev, Bibigul Razakhova, Altynbek Sharipbay, Aizhan Nazyrova, Nazira Tursynova, Altanbek Zulkhazhav, Gaziza Yelibayeva

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Generative AI-driven edge-cloud system for intelligent road infrastructure inspection by Naveed Ejaz, A.B.M. Bodrul Alam, Salimur Choudhury

“…The rapid advancement of edge computing and artificial intelligence (AI) has transformed infrastructure inspection by enabling real-time monitoring of roads, bridges, and pipelines. …”
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