Monthly Rainfall Estimation Using Data-Mining Process by Özlem Terzi

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PSI-Toolkit: A Natural Language Processing Pipeline by Filip Graliński, Krzysztof Jassem, Marcin Junczys-Dowmunt

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A Multilingual Integrated Framework for Processing Lexical Collocations by Violeta Seretan

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Syntactic Processing Using the Generalized Perceptron and Beam Search by Yue Zhang, Stephen Clark

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Language Processing with Perl and Prolog: Theories, Implemetation, and Application by Wei Lu

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A Scalable All-Digital Near-Memory Computing Architecture for Edge AIoT Applications by Masoud Nouripayam, Arturo Prieto, Joachim Rodrigues

“…With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. …”
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Topology Optimization Study of a Refrigeration Block Manufactured with Powder Bed Fusion Selective Laser Melting by Guido Servetti, Federico Valente, Jérôme Laurent, Jitendra Singh Rathore

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Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective by A. H. Abbas, Hend Abdel-Ghani, Ivan S. Maksymov

“…Previous research also demonstrated that quantum neuromorphic processors (QNPs) can conduct computations with the efficiency of a standard computer while consuming less than 1% of the onboard battery power. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

“…However, many resource-intensive IoT systems exist that require substantial computing resources for their processing. In such scenarios, finding the optimal computing node for processing and executing the service is a challenge. …”
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Split Edge-Cloud Neural Networks for Better Adversarial Robustness by Salmane Douch, Mohamed Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Driss Benhaddou

“…SNNs feature a neural network architecture with multiple early exit points, allowing the model to make confident decisions at earlier layers without processing the entire network. This not only reduces memory and computational demands but it also makes SNNs well-suited for edge computing applications. …”
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Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing by Ning Wang, Ya Li, Yuanbang Li, Huanxin Nie

“…As an alternate, mobile cloud computing (MCC) makes good use of cloud resources to boost mobile devices’ storage and processing capabilities. …”
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Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems by Ruchika Bhakhar, Rajender Singh Chhillar

“…DMCS dynamically allocates tasks based on criteria such as computational complexity, urgency, and data size, ensuring that time-sensitive tasks are processed swiftly on fog nodes while resource-intensive computations are handled by cloud data centers. …”
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THE FOURTH INDUSTRIAL REVOLUTION „INDUSTRY 4.0” by Alin STĂNCIOIU

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Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform by Manuylovich Egor, Stoliarov Dmitrii, Saad David, Turitsyn Sergei K.

“…Mapping input signals to a high-dimensional space is a critical concept in various neuromorphic computing paradigms, including models such as reservoir computing (RC) and extreme learning machines (ELM). …”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…Background The realization of computation-intensive applications such as real-time video processing, virtual/augmented reality, and face recognition becomes possible for mobile devices with the latest advances in communication technologies. …”
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A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience by Umar Islam, Mohammed Naif Alatawi, Ali Alqazzaz, Sulaiman Alamro, Babar Shah, Fernando Moreira

“…Fog computing enables processing of time-critical data closer to the data source, reducing response time and relieving cloud system overload. …”
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A Feasibility Study on Indoor Localization and Multiperson Tracking Using Sparsely Distributed Camera Network With Edge Computing by Hyeokhyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford

“…Our pipeline consists of 39 edge computing camera systems equipped with tensor processing units (TPUs) placed in the indoor space's ceiling. …”
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Parallel Processing Distributed-Memory Approach Influences on Performance of Multicomputer-Multicore Systems Using Single-Process Single-Thread by Dildar Masood Abdulqader, Subhi R. M. Zeebaree, Rizgar R. Zebari, Mohammed A. M.Sadeeq, Umed H. Jader, Mohammed Mahmood Delzy

“…Both of number of the participated computers and number of existed processors for each of these computers, this research was depended with the specific design and its implementation. …”
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Assessing the Relevance of Cloud Computing for Micro, Small and Medium Enterprises in the Northern Region of India by Devesh Kumar, Harsh Vardhan Samalia, Piyush Verma

“…In such a scenario, cloud computing can be an appropriate option for such MSMEs which are looking for improving their internal processes, enhancing communication with clients and business partners, and extending their market reach through modern ICT solutions with minimum investment and efforts. …”
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New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

“…Solving the large-scale APSP problem on modern multi-processor (multi-core) systems is the key for various application domains. …”
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