CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. …”
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A novel method for developing post-quantum cryptoschemes and a practical signature algorithm by Nikolay Andreevich Moldovyan, Dmitriy Nikolaevich Moldovyan

“…Purpose – The practical purpose of this research is to propose a candidate for post-quantum signature standard that is free of significant drawback of the finalists of the NIST world competition, which consists in the large size of the signature and the public key. …”
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Designing a Multiobjective Human Resource Scheduling Model Using the Tabu Search Algorithm by Roghayeh Mirataollahi olya, Seyed Ahmad Shayannia, Mohammad Mehdi movahedi

“…To this end, the metaheuristic Tabu search algorithm is used with the aim of minimizing the duration of activity and the presence of all manpower. …”
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Building a Quantum Computer with Photons: Simulation Algorithm for Linear Optical Quantum Systems by Ramadian Ridho Illahi, I Wayan Sudiarta, Marzuki Marzuki, Arif Budianto, Dani Syirojulmunir

“…The evolution of quantum states on photons in linear optical systems has diverse applications, ranging from fundamental to advanced quantum optics experiments for quantum information processing. This research aims to develop a simulation algorithm that focuses on modeling optical elements as a way to study the behavior of quantum states in photons. …”
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Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid

“…Traditional flood prediction models face limitations due to data complexity and computational constraints. This research incorporates artificial intelligence, particularly evolutionary algorithms, to create more adaptable and robust flood prediction models. …”
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Synthesis of an Algorithm for Processing the Trajectories of Moving Objects Using the Methods of Data Clustering Theory by Nguyen Phung Bao, Quang Hieu Dang

“…The algorithm was verified by modelling and experimental research.Aim.  …”
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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…To overcome the challenges, the proposed research uses modified precise DV (Distance Vector)-Hop localization algorithm. …”
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Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm by Subhajit Das, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Seyedali Mirjalili

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A data forwarding algorithm based on Markov thought in underwater wireless sensor networks by Dongwei Li, Jingli Du, Linfeng Liu

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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…In comparison to prior research, the model displayed enhanced prediction accuracy and reliability, attributed to innovations in extracting multi-factor coupling relationships and algorithm choices. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…The present research proposes algorithm of assessing dynamic correlation of time series connected by TVP-regression model. …”
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A County-Level Analysis of the Economic Performance in Romania and Bulgaria Using Hierarchical Algorithms by Alexandra-Nicoleta Ciucu (Durnoi), Camelia Delcea, Kosyo Stoychev

“…Thus, within the current research, Romania and Bulgaria are studied by means of a county-level analysis of the economies of the two states established through the prism of the labor market, the field of health, transport, enterprises, tourism, education, and research. …”
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ALGORITHM OF UNMANNED AERIAL VEHICLES ACOUSTIC SIGNALS DETECTION BASED ON ANALYSIS OF FRACTAL DIMENSION by Leonid M. Artushin, Mykola V. Buhaiov

“…The research of the operational characteristics of the proposed algorithm is carried out. …”
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Heart failure with preserved ejection fraction: the role of diastolic stress test in diagnostic algorithms by E. N. Pavlyukova, D. A. Kuzhel

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A survey of unsupervised domain adaptive semantic segmentation algorithms based on deep learning by Ying Junjie, Lou Lufei, Xin Yu

“…This article summarizes the cutting-edge progress of domain adaptive semantic segmentation algorithms and looks forward to future research directions.…”
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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…The accurate prediction of the host of influenza viruses is a significant challenge in bioinformatics, as it is crucial for understanding viral transmission dynamics and host-virus interactions. This research • Introduces a novel approach for predicting the host of influenza viruses by leveraging protein sequences. • Extraction of features, including sequence length, Amino Acid Composition (AAC), Dipeptide Composition (DPC), Tripeptide Composition (TPC), aromaticity, secondary structure fraction, and entropy from protein sequence. • Addresses the data imbalance and improves model generalization, the oversampling technique is applied for data augmentation.The prediction model employs a Deep Recurrent Neural Network (DRNN) optimized by Fractional Addax Optimization 34 Algorithm (FAOA), a hybrid of Addax Optimization Algorithm (AOA) and Fractional Concept (FC), designed to perform 35 influenza virus host prediction. …”
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Hybrid Fuzzy Centroid with MDV-Hop BAT Localization Algorithms in Wireless Sensor Networks by Chakchai So-In, Weerat Katekaew

“…This hybrid scheme employs an extra weight with signal normalization derived from a fuzzy logic function in Centroid. The research also integrates a BAT algorithm of the modified DV-Hop. …”
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