Geometric Degree Reduction of Wang–Ball Curves by Yusuf Fatihu Hamza, Mukhtar Fatihu Hamza, Abedallah Rababah, Salisu Ibrahim

“…The general equation for high-order (G2 and above) multidegree reduction algorithms is nonlinear, and the solutions of these nonlinear systems are quite expensive. …”
Get full text

IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…Then, we generalize this algorithm to a compact implicit neural network that has only 0.003M parameters. …”
Get full text

Joint Adaptive Modulation and Power Control Scheme for Energy Efficient FSO-based Non-Terrestrial Networks by Thang V. Nguyen, Hien T. T. Pham, Ngoc T. Dang

“…To cope with these difficulties, we propose to apply a joint adaptive modulation and power control (JAMPC) scheme to FSO-based NTN. Our proposed JAMPC algorithm aims to enhance energy efficiency while guaranteeing the targeted outage probability, bit-error rate, and the required data rate. …”
Get full text

Multiobjective Coverage Control Strategy for Energy-Efficient Wireless Sensor Networks by Hui Zhou, Tian Liang, Chen Xu, Jing Xie

“…A multiobjective optimization coverage control strategy is proposed for solving the contradictory problem among energy consumption, equilibrium of energy, and network coverage in wireless sensor networks. A new evolutionary algorithm named Multiobjective free search algorithm (MOFS) is designed for WSN optimization problem based on fitness functions and binary coding schemes. …”
Get full text

Comprehensive FISH probe design tool applied to imaging human immunoglobulin class switch recombination. by Jakub Nedbal, Philip S Hobson, David J Fear, Rainer Heintzmann, Hannah J Gould

“…We present a web engine boosted fluorescence in-situ hybridization (webFISH) algorithm using a genome-wide sequence similarity search to design target-specific single-copy and repetitive DNA FISH probes. …”
Get full text

Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios by XU Lianming, ZHU Wendi, WANG Li, LIU Zhenyu, ZHANG Yuhao

“…Additionally, to mitigate severe fading effects of NLoS links caused by obstacles such as mountains, a virtual attractive force modelling method for NLoS link avoidance was proposed, improving the service quality of the emergency network by eliminating severe fading links. The proposed NA-VF algorithm significantly enhances the utilities of communication and localization and the service coverage rates for users in dynamic scenarios, while supporting sub-second UAV deployment.…”
Get full text

An Approach to Finding a Robust Deep Learning Model by Alexey Boldyrev, Fedor Ratnikov, Andrey Shevelev

“…This approach, supplemented with a model selection algorithm designed as a meta-algorithm, is versatile and applicable to any machine learning model, provided that it is appropriate for the task at hand. …”
Get full text

Scheduling a Fleet of Dynamic EV Chargers for Maximal Profile by Shorooq Alaskar, Mohamed Younis

“…Numerical experiments conducted on Sioux Falls validate the efficacy of our approach, allowing for an assessment of algorithm performance under realistic large-scale conditions. …”
Get full text

NEW STRATEGY THE FOR DESIGNATION OF THE INTEGRITY PARAMETER IN SBAS POSITIONING IN AIR TRANSPORT by Magda MROZIK, Jarosław KOZUBA, Kamil KRASUSKI, Janusz ĆWIKLAK, Mieczysław BAKUŁA, Bilal BELDJILALI

“…Based on the conducted tests, it was found that the HPL parameter does not exceed 12.24 m, while respectively the VPL does not exceed 18.01 m. …”
Get full text

Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

“…The resulting strategy demonstrates accurate results for both benchmark and real-world time series, with the number of predicted steps exceeding that of any other published algorithm.…”
Get full text

Learning properties of quantum states without the IID assumption by Omar Fawzi, Richard Kueng, Damian Markham, Aadil Oufkir

“…Among other applications, this allows us to generalize the classical shadow framework to the non-i.i.d. setting while only incurring a comparatively small loss in sample efficiency. …”
Get full text

Mixed fleet-based two-echelon vehicle routing optimization for cold chain logistics with diverse recharging strategies. by Yaling Li, Wenzhu Liao, Yuqi Huang

“…The presented model optimizes economic and environmental considerations to mitigate air pollution and reduce dependence on non-renewable energy sources while providing feasible routes. This study proposes an allocation algorithm and an enhanced ant colony algorithm to address a single-objective two-echelon vehicle routing problem with the mixed fleet (2EVRPMF). …”
Get full text

Task offloading and resource allocation in vehicle heterogeneous networks with MEC by Haibo ZHANG, Qiuji LUAN, Jiang ZHU, Fangwei LI

“…Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.…”
Get full text

steganography in colored images based on biometrics by Zeena Nabeel Jameel AL-Kateeb, Marriam Raad Jasim Mohammed AL-Bazaz

“…The performance of the algorithm and the method of its application were measured using measures of efficiency of the work, whereas the Peak Signal Noise Ratio was used, the highest ratio obtained was 81.3417, and Mean Square Error was approximately 0.0008 as a maximum limit, while the error rate was the restored confidential message after hiding Bit Error Rate = 0 in all cases …”
Get full text

Nanosatellite Autonomous Navigation via Extreme Learning Machine Using Magnetometer Measurements by Gilberto Goracci, Fabio Curti, Mark Anthony de Guzman

“…This work presents an algorithm to perform autonomous navigation in spacecraft using onboard magnetometer data during GPS outages. …”
Get full text

Mode selection and resource optimization for UAV-assisted cellular networks by Daquan FENG, Canjian ZHENG, Xiangqi KONG

“…The resource allocation and optimization scheme was studied in a coexistence scenario of unmanned aerial vehicle (UAV) and cellular communication network.To improve spectrum efficiency of the system, UAV users could reuse the cellular spectrum resources to access the network through full duplex or half duplex device-to-device technique.Additionally, a joint access control, mode selection, power control and resource allocation optimization problem was formulated to maximize the overall throughput of the network while ensuring quality of service requirements for both UAV users and ground cellular users.Specifically, the phase 1 method in the convex optimization was adopted for access control and feasibility check, and then the convex and concave procedure (CCCP) iterative algorithm was used to solve the power control problem for feasible UAV user pairs.By using this local optimum value, the original optimization problem can be simplified into a weighted maximization problem.Finally, the Kuhn-Munkres (KM) algorithm was used to match the optimal channel resources and obtain the global optimal throughput value of the system.Numerical results show that the proposed scheme can significantly improve the performance of system.…”
Get full text

Towards Independency Using LMN4DISABLED System for Disabled by Wael Hosny Fouad Aly

“…Sensor nodes and cameras are distributed in all rooms and hallways. Dijkstra routing algorithm is used to select the appropriate route for each profile. …”
Get full text

An Alternative Framework for Dynamic Mode Decomposition with Control by Gyurhan Nedzhibov

“…The new scheme aims to improve computational efficiency while maintaining the reliability and accuracy of the decomposition. …”
Get full text

A comparative structural module study of Balla Lompoa and Ba’anjung by Fermanto Lianto, Denny Husin, Rudy Trisno

“…The steps are 1) Architectural redrawing, 2) Module extraction, and 3) Algorithm pattern. The output is an architectural algorithm as the patterns. …”
Get full text

Identification of Perceptual Phonetic Training Gains in a Second Language Through Deep Learning by Georgios P. Georgiou

“…This study addresses this gap by developing a deep learning algorithm designed to identify perceptual gains resulting from second language (L2) phonetic training. …”
Get full text