Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

“…Thus, this research proposes Gradient Boosting as the most effective method, outperforming all state-of-the-art techniques by achieving the highest accuracy, precision, recall, F1-score, and AUC, highlighting its superior classification performance and computational efficiency.…”
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Prototype Instrumentation for the Spatial and Temporal Characterisation of Voltage Supply Based on Two-Dimensional Higher-Order Statistics by Juan-José González-de-la-Rosa, Olivia Florencias-Oliveros, José-María Sierra-Fernández, Manuel-Jesús Espinosa-Gavira, Agustín Agüera-Pérez, José-Carlos Palomares-Salas, Victor Pallarés-López, Rafael-Jesús Real-Calvo, Isabel Santiago-Chiquero

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Multi-object coaxial imaging with an Airy beam array by Qi Zhou, Yanfeng Bai, Wei Tan, Xiaohui Zhu, Xiaoqian Liang, Jian Li, Xianwei Huang, Xiquan Fu

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Noise-agnostic quantum error mitigation with data augmented neural models by Manwen Liao, Yan Zhu, Giulio Chiribella, Yuxiang Yang

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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

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Behaviour of passage time for a queueing network model with feedback: a simulation study by Bidyut K. Medya

“…The model can be applied to a twin-processor multiprogramming computer system.…”
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Symbolic Solution to Complete Ordinary Differential Equations with Constant Coefficients by Juan F. Navarro, Antonio Pérez-Carrió

“…The aim of this paper is to introduce a symbolic technique for the computation of the solution to a complete ordinary differential equation with constant coefficients. …”
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Water Hammer Modelling and Simulation by GIS by K. Hariri Asli, A. K. Haghi, H. Hariri Asli, E. Sabermaash Eshghi

“…This work defined an Eulerian-based computational model compared with regression of the relationship between the dependent and independent variables for water hammer surge wave in transmission pipeline. …”
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A Survey of Artificial Immune System Based Intrusion Detection by Hua Yang, Tao Li, Xinlei Hu, Feng Wang, Yang Zou

“…In the area of computer security, Intrusion Detection (ID) is a mechanism that attempts to discover abnormal access to computers by analyzing various interactions. …”
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Modeling shrimp biomass and viral infection for production of biological countermeasures by H. Thomas Banks, V. A. Bokil, Shuhua Hu, A. K. Dhar, R. A. Bullis, C. L. Browdy, F.C.T. Allnutt

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Three-dimensional photoluminescence imaging of threading dislocations in GaN by sub-band optical excitation by Matthias Daeumer, Jae-Hyuck Yoo, Zhiyu Xu, Minkyu Cho, Marzieh Bakhtiary-Noodeh, Theeradetch Detchprohm, Yuxuan Zhang, Vijay Gopal Thirupakuzi Vangipuram, Vishank Talesara, Yibo Xu, Edward Letts, Daryl Key, Tian T. Li, Qinghui Shao, Russell Dupuis, Shyh-Chiang Shen, Wu Lu, Hongping Zhao, Tadao Hashimoto, Ted A. Laurence

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Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography by Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen

“…However, previous methods suffer from long data acquisition and computation times as well as low recognition accuracy. …”
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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

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Intelligent two-phase dual authentication framework for Internet of Medical Things by Muhammad Asif, Mohammad Abrar, Abdu Salam, Farhan Amin, Faizan Ullah, Sabir Shah, Hussain AlSalman

“…The results show that encryption/decryption time is reduced by over 45%, overall computational cost by 45.38%, and latency by 28.42% over existing approaches. …”
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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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Calculation of coal cleats spacing for methane degassing by image processing by Adel Taheri, Farhang Sereshki, Fatemeh Sadat Rohani

“…Computer-based image processing technology was conducted to determine the coal cleats. …”
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Analysis of a Reflectarray by Using an Iterative Domain Decomposition Technique by Carlos Delgado, Josefa Gómez, Abdelhamid Tayebi, Iván González, Felipe Cátedra

“…The approach is based on a domain decomposition technique that divides the geometry into several parts to minimize the vast computational resources required when applying a full wave method. …”
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Fast Transfer Navigation for Autonomous Robots by Chen Wang, Xudong Li, Xiaolin Tao, Kai Ling, Quhui Liu, Gan Tao

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Global stability analysis for SEIS models with n latent classes by Napoleon Bame, Samuel Bowong, Josepha Mbang, Gauthier Sallet, Jean-Jules Tewa

“…We compute the basic reproduction ratio of a SEIS model withn classes of latent individuals and bilinear incidence.The system exhibits thetraditional behaviour. …”
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