Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…The LSTM component, functioning based on its ability to creatively generate note sequences, and the GA component, tasked with validation and refinement, have both proven to collaborate effectively and fulfill their respective roles. …”
Get full text

Diagnosis of contamination discharge state of porcelain insulators based on GA-CNN by Kegeng Zhang, Jinyuan Liu, Junshuai Zhong, Yizhou Jing

“…Porcelain insulators play an important role in power transmission lines. It is of great significance to improve the accuracy of diagnosis of porcelain insulators’ discharge state and ensure the reliability of power supply. …”
Get full text

Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

Get full text

LASSO-mCGA: Machine Learning and Modified Compact Genetic Algorithm-Based Biomarker Selection for Breast Cancer Subtype Classification by Nimisha Ghosh, Sankar Kumar Mridha, Rourab Paul

“…Being a heterogeneous disease, subtyping breast cancer plays a vital role in its treatment. In this regard, gene expression plays an important role. …”
Get full text

An Effective GTO Algorithm-Based Cost-Benefit Analysis of DISCOs by Optimal Allocation of DG and DSTATCOM in a Radial Distribution Network by RAM PRASAD KANNEMADUGU, V. Adhimoorthy, A. Lakshmi Devi

Get full text

Optimization of 110 m Aperture Fully Steerable Radio Telescope Prestressed Back Frame Structure Based on a Genetic Algorithm by Ge Gao, Kai Zhang, Shiru Sun

“…Radio telescopes play an important role in lunar exploration projects, manned space flight projects, and navigation systems. …”
Get full text

Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

Get full text

Reducing Computational Time in Pixel-Based Path Planning for GMA-DED by Using Multi-Armed Bandit Reinforcement Learning Algorithm by Rafael P. Ferreira, Emil Schubert, Américo Scotti

“…The results outstand the artificially intelligent role of the Reinforcement Learning technique in printing more efficiently functional structures.…”
Get full text

Identifying the Latitude and Longitude of ATMs in ATM Networks by Niloofar Haghjoo, Mohammad rahmati, Ali Zare Mirakabad

“…This data is indispensable and plays a cardinal role in the implementation of a multitude of artificial intelligence algorithms.   …”
Get full text

Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and <italic>t</italic>-Closeness Based Anonymity Algorithm by Abdul Majeed, Seong Oun Hwang

“…To address these technical problems, in this paper, we implement a homophily, diversity- and t-closeness-based anonymity algorithm that effectively solves the privacy-equity trade-off (i.e., preserving privacy while representing all population groups, regardless of major/minor status) in anonymized data. …”
Get full text

A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms by Yangbo Chen, Wei Ou, Mengxue Pang, Jianqiang Ma, Qiuling Yue, Wenbao Han

Get full text

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…This manuscript presents an Enhance Malicious Domain Detection Using an Attention-Based Deep Learning Model with Optimization Algorithms (EMDD-ADLMOA) technique. …”
Get full text

Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features by Guoju Liu, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan, Zheng Ye

Get full text

Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms by Xinyi Wu, Chun Li

“…Results Our study constructed a pioneering prognostic model based on iTIL-centric signature via a machine learning framework that evaluated 101 algorithm combinations. …”
Get full text

Sharing Scheme of Electronic Medical Records for Air-conditioning Products Based on Blockchain Technology by Xu Chang, Chen Huanxin, Li Zhengfei, Han Linzhi, Zhu Bo, Gong Qijian

Get full text

The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning by Fei Gao, Fei Teng, Yuxiang Wan, Qiaoli Zhang, Jinchang Huang

“…We evaluated 113 machine learning algorithms to develop mitochondrial gene-based prognostic models. …”
Get full text

Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
Get full text

The role of translation in teaching a foreign language in a non-linguistic university by Zariet Mukhamcherievna Shadzhe

Get full text

Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…Edge detection plays a critical role in computer vision, particularly in the analysis of random natural images. …”
Get full text

Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
Get full text