Cloud Service Broker Using Ontology-Based System by Neeraj Kumar Singh, Abhishek Jain, Shruti Arya, Pawan Bhambu, Tanya Shruti, Vipin Kumar Chaudhary

“…Cloud computing offers more advantages to clients and associations regarding capital uses and working cost investment funds. …”
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TourismNeuro xLSTM: neuro-inspired xLSTM for rural tourism planning and innovation by Jing Jiang, You Li, You Li

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Electric Field‐Driven Conformational Changes in Molecular Memristor and Synaptic Behavior by Chanjin Lim, Taegil Kim, YoungJu Park, Daeho Kim, ChaeHo Shin, Suji Ha, Jin‐Liang Lin, Yuan Li, Junwoo Park

“…Abstract This paper demonstrates the use of molecular artificial synapses in neuromorphic computing systems designed for low energy consumption. …”
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Reliable, efficient, and scalable photonic inverse design empowered by physics-inspired deep learning by Shao Guocheng, Zhou Tiankuang, Yan Tao, Guo Yanchen, Zhao Yun, Huang Ruqi, Fang Lu

“…On-chip computing metasystems composed of multilayer metamaterials have the potential to become the next-generation computing hardware endowed with light-speed processing ability and low power consumption but are hindered by current design paradigms. …”
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The influence of experimental imperfections on photonic GHZ state generation by Fabian Wiesner, Helen M Chrzanowski, Gregor Pieplow, Tim Schröder, Anna Pappa, Janik Wolters

“…While the advantages of photonic quantum computing, including direct compatibility with communication, are apparent, several imperfections such as loss and distinguishability presently limit actual implementations. …”
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Dissipative quantum Hopfield network: a numerical analysis by Joaquín J Torres, Daniel Manzano

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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…In addition, existing algorithms ignored the computing delay of edge servers (ESs) on request process, resulting in overestimation of the service quality. …”
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Fuzzyfortify: a multi-attribute risk assessment for multi-factor authentication and cloud container orchestration by Mohammad Hafiz Hersyah, Mohammad Hafiz Hersyah, Md. Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi

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Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach by Ankita Maurya, Rahul Haripriya, Manish Pandey, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…The framework incorporates secure multiparty computation (SMPC) with Shamir’s Secret Sharing to ensure encrypted communication between clients and edge aggregators, preserving data confidentiality throughout the training process. …”
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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

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Quantum Circuit Synthesis Using Fuzzy-Logic-Assisted Genetic Algorithms by Ishraq Islam, Vinayak Jha, Sneha Thomas, Kieran F. Egan, Alvir Nobel, Serom Kim, Manu Chaudhary, Sunday Ogundele, Dylan Kneidel, Ben Phillips, Manish Singh, Kareem El-Araby, Devon Bontrager, Esam El-Araby

“…Quantum algorithms will likely play a key role in future high-performance-computing (HPC) environments. These algorithms are typically expressed as quantum circuits composed of arbitrary gates or as unitary matrices. …”
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Real-Time Encrypted Traffic Classification with Deep Learning by Onur Demir, Deniz Tuana Ergönül

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Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware by Valentina Baruzzi, Giacomo Indiveri, Silvio P. Sabatini

“…Experimental results validate the approach, demonstrating how principles of neural computation can lead to robust sensory processing electronic systems, even when they are affected by high degree of heterogeneity, e.g., due to the use of analog circuits or memristive devices.…”
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H- and m-channel overexpression promotes seizure-like events by impairing the ability of inhibitory neurons to process correlated inputs. by Scott Rich, Taufik A Valiante, Jérémie Lefebvre

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Bayesian accounts of perceptual decisions in the nonclinical continuum of psychosis: Greater imprecision in both top-down and bottom-up processes. by Isabella Goodwin, Joshua Kugel, Robert Hester, Marta I Garrido

“…Bayesian modelling was used to compute individuals' reliance on prior relative to sensory information. …”
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CellDynaMo-stochastic reaction-diffusion-dynamics model: Application to search-and-capture process of mitotic spindle assembly. by Evgenii Kliuchnikov, Artem Zhmurov, Kenneth A Marx, Alex Mogilner, Valeri Barsegov

“…The SRDDM is mapped into the CellDynaMo package, which couples the spatially inhomogeneous reaction-diffusion master equation to account for biochemical reactions and molecular transport within the Langevin Dynamics (LD) framework to describe dynamic mechanical processes. This computational infrastructure allows the simulation of hours of molecular machine dynamics in reasonable wall-clock time. …”
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Reimagining Robots: The Future of Cybernetic Organisms with Energy-Efficient Designs by Stefan Stavrev

“…Complementing this, neuromorphic computing architectures, including memristor-based processors and spiking neural networks (SNNs), enhance computational efficiency while minimizing energy consumption. …”
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Improving the Performance Prediction of Process Simulation Models for TBM Tunneling Using Real-Time Project Data by Annika Jodehl, Judith Berns, Markus Thewes, Markus König

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Integrated Optimization of Production Scheduling and Explicit Model Predictive Control for Batch Process Based on SEN Framework by Yue WANG, Xiaohui GUO, Yuting JIN, Xin JIN

“…Synchronous method is used to establish an integrated model for batch process production scheduling and control. In the scheduling section, a production scheduling model is established based on the State Equipment Network (SEN) and the unit⁃specific event⁃based continuous time modeling method; the integrated model of scheduling and control belongs to a mixed integer dynamic optimization problem, and solving it requires a large amount of complex computation, in order to alleviate the burden of online computing, Explicit Model Predictive Control (EMPC) is utilized for offline solving; the MPT toolbox is used to solve the dynamic problem of EMPC; introducing binary variables, converting the obtained explicit control solution into explicit linear constraints, and adding them to the common constraint objective in the scheduling model; through case analysis, the optimization results were compared and analyzed with the pure scheduling model, and the economic feasibility of the integrated model is verified.…”
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EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction by Shanshan Yu, Danhuai Guo, Yanjie Fu, Wei Jin

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