Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Aiming at the problems of low detection rate and high false detection rate of intrusion detection algorithms in the traditional cloud computing environment, an intrusion detection-data security protection scheme based on particle swarm-BP network algorithm in a cloud computing environment is proposed. …”
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Tactile near-sensor computing systems incorporating hourglass-shaped microstructured capacitive sensors for bio-realistic energy efficiency by Jae-Yeong Cho, Seong Eun Kim, Chang-Jae Beak, Jihwan Lee, Wonjeong Suh, Bo-Yeon Lee, Sin-Hyung Lee

“…Abstract Bio-inspired near-sensor computing, which integrates sensing and processing functions, presents a promising strategy to enhance efficiency and reduce latency in such applications. …”
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Spatial Distribution of Burned Areas from 1986 to 2023 Using Cloud Computing: A Case Study in Amazonas (Peru) by Elgar Barboza, Efrain Y. Turpo, Aqil Tariq, Rolando Salas López, Samuel Pizarro, Jhon A. Zabaleta-Santisteban, Angel J. Medina-Medina, Katerin M. Tuesta-Trauco, Manuel Oliva-Cruz, Héctor V. Vásquez

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Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism by Zizhe Zhou, Yaqi Wang, Lin Cong, Yujing Song, Tianyue Li, Meishu Li, Keyi Xu, Chunli Lv

“…The hash tree is employed to ensure data integrity and security, enabling the rapid verification of data changes, while the skip attention mechanism enhances computational efficiency by allowing the model to selectively focus on important features, thus minimizing unnecessary processing. …”
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A KWS System for Edge-Computing Applications with Analog-Based Feature Extraction and Learned Step Size Quantized Classifier by Yukai Shen, Binyi Wu, Dietmar Straeussnigg, Eric Gutierrez

“…Edge-computing applications demand ultra-low-power architectures for both feature extraction and classification tasks. …”
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Beyond boundaries a hybrid cellular potts and particle swarm optimization model for energy and latency optimization in edge computing by Dinesh Sahu, Nidhi, Shiv Prakash, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang

“…Abstract The need to compute data in real-time and manage resources in environments with distributed computing has given edge computing significant importance. …”
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Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks by Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangares, Zaid Alaa Hussien, Husam A. Neamah

“…Despite its significant benefits for modern smart healthcare, IoHT faces growing security challenges due to the limited processing power, storage capacity, and self-defense capabilities of its devices. …”
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Performance of 3 Conversational Generative Artificial Intelligence Models for Computing Maximum Safe Doses of Local Anesthetics: Comparative Analysis by Mélanie Suppan, Pietro Elias Fubini, Alexandra Stefani, Mia Gisselbaek, Caroline Flora Samer, Georges Louis Savoldelli

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Research on the next-generation deep learning framework by Fan YU

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Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. by João A N Filipe, Eleanor M Riley, Christopher J Drakeley, Colin J Sutherland, Azra C Ghani

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DNFE: Directed network flow entropy for detecting tipping points during biological processes. by Xueqing Peng, Rui Qiao, Peiluan Li, Luonan Chen

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Trajectory inference from single-cell genomics data with a process time model. by Meichen Fang, Gennady Gorin, Lior Pachter

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Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma. by Mohammad Fallahi-Sichani, Matthew A Schaller, Denise E Kirschner, Steven L Kunkel, Jennifer J Linderman

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A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining by Honghuan Chen

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Sum and Tensor of Quantitative Effects by Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon Plotkin

“…Finally, as an application, we provide the first quantitative algebraic axiomatizations to the following coalgebraic structures: Markov processes, labelled Markov processes, Mealy machines, and Markov decision processes, each endowed with their respective bisimilarity metrics. …”
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RN‐Net: Reservoir Nodes‐Enabled Neuromorphic Vision Sensing Network by Sangmnin Yoo, Eric Yeu‐Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu

“…Neuromorphic computing systems promise high energy efficiency and low latency. …”
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Influence of proteinoids on calcium carbonate polymorphs precipitation in supersaturated solutions by Panagiotis Mougkogiannis, Andrew Adamatzky

“…Proteinoids, or thermal proteins, are amino acid polymers formed at high temperatures by non-biological processes. Pro- teinoids form microspheres in liquids. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…Moreover, our method can effectively reduce the original processing data to 13%, which means that it significantly lowers the cost of computing resources.…”
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Automatic Phase Correction of NMR Spectra Using Brute-Force GPU Method by Mario Gazziro, Marcio Luís Munhoz Amorim, Marco Roberto Cavallari, João Paulo Carmo, Alberto Tannus, Oswaldo Hideo Ando Junior, Loren Schwiebert

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A model for correlation-based choreographic programming by Saverio Giallorenzo, Fabrizio Montesi, Maurizio Gabbrielli

“…To provide its correctness guarantee, Applied Choreographies comes with a compilation procedure that transforms a choreography into a low-level, implementation-adherent calculus of Service-Oriented Computing (SOC). To manage the complexity of the compilation, we divide its formalisation and proof into three stages, respectively dealing with: (a) the translation of name-based communications into their SOC equivalents, namely, using correlation mechanisms based on message data; (b) the projection of the given choreography into a composition of partial, single-participant choreographies (towards their translation into SOC processes); (c) the translation of partial choreographies and the distribution of global, choreography-level state into local SOC processes. …”
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