Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

“…The model demonstrated comparable performance in both the internal test data and external validation data. …”
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Comparative analysis of AI-based search algorithms in solving 8 puzzle problems by Ghaniyyat Bolanle Balogun, Daniel Ibisagba, Amos Bajeh, Taofik Olawale Debo, Abdulraheem Muyideen, Olumuyiwa James Peter

“…Abstract Background The 8-puzzle problem is a well-known combinatorial search problem, often used to test the effectiveness of various artificial intelligence (AI) algorithms. This study aims to evaluate the performance of three AI-based search algorithms—Breadth-First Search (BFS), Depth-First Search (DFS), and A* Search—in solving the 8-puzzle problem. …”
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Analysis of Aftershocks from California and Synthetic Series by Using Visibility Graph Algorithm by Alejandro Muñoz-Diosdado, Ana María Aguilar-Molina, Eric Eduardo Solis-Montufar, José Alberto Zamora-Justo

“…The use of the Visibility Graph Algorithm (VGA) has proven to be a valuable tool for analyzing both real and synthetic seismicity series. …”
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Simrec: a similarity measure recommendation system for mixed data clustering algorithms by Abdoulaye Diop, Nabil El-Malki, Max Chevalier, André Péninou, Geoffrey Roman-Jimenez, Olivier Teste

“…Abstract Clustering algorithms play a pivotal role in data mining, offering powerful tools for uncovering hidden patterns and structures within datasets. …”
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Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset by Gennady Chuiko, Denys Honcharov

“…The results indicate that the dimensionality of the Wisconsin Breast Cancer dataset, which is increasingly becoming the "gold standard" for diagnosing Malignant-Benign tumors, can be significantly reduced without losing predictive power. The Deep Learning algorithms in WEKA deliver excellent performance for both supervised and unsupervised learning, regardless of whether dealing with full or reduced datasets.…”
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Fractional time delay estimation algorithm based on the fractional lower order moment by LIU Wen-hong1, 2, QIU Tian-shuang1, HU Ting-ting1, LUAN Lian-yi3

“…According to the noise characteristics in signal, a fractional time delay estimation algorithm referred to as LMPFTDE was proposed based on the least mean p-norm. …”
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Optimal algorithm based on weight balancing for designing the logical topology of the optical network by FU Ming-lei, LE Zi-chun, LU Min

“…The design of an optimal logical topology in optical networks was reported.The traffic load matrix and the delay matrix were considered together and then two novel network weights were defined.Therefore,both the congestion and average delay were optimized simultaneously.Moreover,an optimal algorithm which based on the two kinds of weight definition was proposed.In the simulation part,the NSFNET was chosen as the network model and the heuristic algorithm was compared with two other kinds of designing algorithms.Finally,the effect on network performances,which was caused by four performance parameters including the congestion,blocking probability,delay and load balanc-ing states,was discussed in numerical results part.…”
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Individual behavior tracking of heifers by using object detection algorithm YOLOv4 by Sarah Jahn, Gabriel Schmidt, Lisa Bachmann, Robert Kammerer, Helen Louton, Anne K. Schütz, Timo Homeier-Bachmann

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MAOA: A Swift and Effective Optimization Algorithm for Linear Antenna Array Design by Anoop Raghuvanshi, Abhinav Sharma, Abhishek Kumar Awasthi, Abhishek Sharma, Rahul Singhal, Kim Soon Chong, Sew Sun Tiang, Wei Hong Lim

“…This paper presents the modified arithmetic optimization algorithm (MAOA), a swift and effective optimization algorithm specifically designed for electromagnetic applications. …”
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Joint trade-off optimization algorithm based on cooperative spectrum sensing throughput by Guo-qing JI, Gang WANG, Hong-bo ZHU

“…The achievable data throughput of the cognitive network was modeled to optimize the overhead and performance of the cooperative system thoroughly.Considering the soft data combination decision,the joint trade-off optimization of the local sampling number and cooperative user number was modeled based on the achievable data throughput.The global optimal solution was achieved with inexact line search algorithm,which is based on Armijo rule and lopsided search step technique.Consequently,the validity of the optimization model was verified both by the numerical computation and by Monte-Carlo simulation tests.The joint trade-off optimization of the sampling number and cooperative user number was achieved in cooperative sensing based on the throughput maximizing criterion.…”
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An Efficient Numerical Algorithm for Solving Fractional Higher-Order Nonlinear Integrodifferential Equations by Muhammed I. Syam, Qasem M. Al-Mdallal, M. Naim Anwar

“…This paper is devoted to both theoretical and numerical study of boundary value problems for higher-order nonlinear fractional integrodifferential equations. …”
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Improving harmony search algorithms by using tonal variation: the case of Sudoku and MKP by Nicolás Rojas-Morales, María-Cristina Riff Rojas

“…The experiments showed that including tonal variation allows HS algorithms to find better quality solutions in both problems.…”
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Modified kernels-alternated error diffusion multipurpose watermarking algorithm for halftone images by NI Jiang-qun1, XIE Zhen1, TANG Lin-na1, HUANG Ji-wu1

“…A modified kernels-alternated error diffusion（KAEDF） multipurpose watermarking algorithm for halftone images was presented for copyright protection.Firstly,a modified KAEDF（MKAEDF） algorithm for invisible watermarking was developed,which achieved relatively large embedding rate with good visual quality and high robustness.Based on MKAEDF,the modified KAEDF multipurpose（MKAEDFM） watermarking algorithm was further developed for both visible and invisible watermark embedding.The results of simulation indicate that the proposed MKAEDFM watermarking algorithm achieves significant improvements in performance of visual quality and watermark decoding rate.…”
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Improved variable step-size LMS algorithm based on hyperbolic tangent function by Jianwu ZHANG, Hao YU, Qianhua ZHANG

“…In order to improve that the LMS algorithm for determining step size cannot satisfy both rapid convergence and low steady-state misalignment errors,a variable step size algorithm (IVSSLMS) based on an improved hyperbolic tangent function was proposed.The step size feedback factor and the correlation value of the error signal were used to adjust the step size,and the problems of slow convergence speed and poor anti-noise ability of the fixed-step size algorithm was overcame.The performance and parameters settings of the proposed algorithm were analyzed.The simulation results show that IVSSLMS has a faster convergence rate,lower steady-state error and better system tracking capability than the existing variable step size algorithms under high and low SNR conditions.…”
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Optimal algorithm based on weight balancing for designing the logical topology of the optical network by FU Ming-lei, LE Zi-chun, LU Min

“…The design of an optimal logical topology in optical networks was reported.The traffic load matrix and the delay matrix were considered together and then two novel network weights were defined.Therefore,both the congestion and average delay were optimized simultaneously.Moreover,an optimal algorithm which based on the two kinds of weight definition was proposed.In the simulation part,the NSFNET was chosen as the network model and the heuristic algorithm was compared with two other kinds of designing algorithms.Finally,the effect on network performances,which was caused by four performance parameters including the congestion,blocking probability,delay and load balanc-ing states,was discussed in numerical results part.…”
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Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…In this study, the optimal operation rule curves for cascaded reservoirs were obtained by using the cuckoo search algorithm, which is a soft computing method. Both the irrigation and flood control constraints of the Adiguzel and Cindere dams in Denizli (Turkey) were satisfied by utilizing these rule curves, and the total energy production was maximized. …”
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The shift-based scaling and recursing algorithm for evaluating the action of the matrix $ \varphi $-functions by Xianan Lu, Dongping Li, Zhixin Zhao

“…Numerical comparisons with existing algorithms demonstrate that the proposed algorithm performs well in terms of both accuracy and efficiency.…”
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Low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence by Fengkui GONG, Ni WEN, Guo LI, Yang GAO

“…A low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence was proposed, which was suitable for burst OFDM systems.A new preamble sequence was constructed based on the CAZAC sequence, and its simplified timing metric function was derived by using the combination characteristics of the sequence, and then the delay correlation and symmetric correlation characteristics were used to achieve accurate and stable timing synchronization.Furthermore, based on the new constructed preamble sequence, a weighted frequency synchronization scheme combining cyclic prefix was proposed to obtain more accurate frequency offset estimation.Simulation results show that the proposed algorithm has good synchronization performance in both Gaussian channels and multipath fading channels regardless of frequency offset, and its computational complexity is lower than the most existing representative algorithms.…”
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Fractional time delay estimation algorithm based on the fractional lower order moment by LIU Wen-hong1, 2, QIU Tian-shuang1, HU Ting-ting1, LUAN Lian-yi3

“…According to the noise characteristics in signal, a fractional time delay estimation algorithm referred to as LMPFTDE was proposed based on the least mean p-norm. …”
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Fair and efficient opportunistic interference alignment algorithm based on round-robin scheduling by Xian-zhong XIE, Hua-bing LU, Zhao-yuan SHI

“…Opportunistic interference alignment (OIA) algorithm was proposed for the practical implementation of interference alignment (IA).A fair and efficient OIA algorithm was presented for the unfairness in resource allocation and high dependence of tremendous users in the existing OIA algorithms.Firstly,the users with the best channel was selected in the primary cell based on round-robin scheduling after the coordinate cluster was determined.Then,the interference from the primary users was eliminated by skillfully designing the useful signal spaces in the subordinate cells.Furthermore,the users with the minimum interference leakage was selected in the subordinate cells.Finally,the fairness performance was theoretically analyzed.Simulation results show that both the sum-rate and fairness of the proposed algorithm are significantly higher than that of the conventional algorithm with less interference leakage.Besides,the users can achieve a quick access.…”
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