Development of a grape-harvesting robot using a multi-step detection method based on AI and a position-estimation algorithm by Weiguo Wang, Liangliang Yang, Noboru Noguchi

“…The consumption of Japan wine is increasing year by year, and the country's grape-cultivation industry is facing many challenges. Grape harvesting, as a labor-intensive industry, requires a large amount of labor input, and many problems (e.g., the aging population and labor shortage) have already had huge impacts on grape cultivation, making the need for automated grape harvesting increasingly urgent. …”
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<i>Synthesis of control algorithms on-board information and control systems of aircraft </i><i>at the minimum criterion of accesses to local memory</i> by N. S. Akinshin, E. A. Staroguk

“…Formalized the problem of choosing a set of programs to implement many of the algorithms and optimizing the structure of the local memory that belong to the class of problems of discrete programming with pseudoboolean variables. …”
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Safety anchors and deflected desires: generative AI and the production of sexualities by Daniel Carter

“… Introduction. Many images generated by AI appear sexual in nature, and a great deal of attention is paid in computer science to preventing systems from producing some forms of sexual content. …”
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A Framework for Generating S-Box Circuits with Boyer–Peralta Algorithm-Based Heuristics, and Its Applications to AES, SNOW3G, and Saturnin by Yongjin Jeon, Seungjun Baek, Giyoon Kim, Jongsung Kim

“…The gate count in the cipher and the circuit depth must be low to minimize these two metrics. Many optimization strategies have been developed for the linear layer, led by the Boyer–Peralta (BP) algorithm. …”
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Image Steganography by Using Multiwavelet Transform by Baghdad Science Journal

“…in frequency domain control the quality of the stego images. The proposed algorithm is compared with wavelet based algorithm which shows a favorable results in terms of PSNR reaches to 18 dB.…”
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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…In this research, a neural network using backpropagation (BPNN) algorithm was trained and learned to work as the cone cells in human eyes to recognize the three fundamental cells’ colors and hues, as the neural network showed good results in training and testing the color feature  it was trained and learned again to recognize two nature scenes images ; Red sunset and Blue sky images where both scenes images contain color interaction and different hues such as red-orange and blue-violet. …”
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Survey on IPv6 address scanning technology based on seed sources by Guo LI, Lin HE, Guanglei SONG, Zhiliang WANG, Jiahai YANG, Zimu LI

“…Nowadays,the state-of-the-art technologies can spend a very short time to scan the whole IPv4 space,but these methods cannot be applied to the huge IPv6 space easily.Therefore,many researchers propose different heuristic algorithms for the sake of IPv6 scanning.The common way of these algorithms is to input collected IPv6 seed addresses and output new most likely active IPv6 addresses as candidates for later scanning.These methods greatly reduce the scanning range of the active address area.These technologies based on seed addresses were classified,analyzed and summarized,and detailed analysis of the advantages and disadvantages of each method was given.And the several challenges faced by the methods were discussed.73M seed addresses were collected in total from two sources,including published IPv6 datasets in papers and Beijing Node of China Education and Research Network.Through the proposed experiments,time performance and hit rate of four IPv6 address scanning technologies based on seed addresses was compared.Finally,the own thoughts on this field and some future research directions were proposed.…”
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A Network Coding Based Rarest-First Packet Recovery Algorithm for Transmitting Geocast Packets over Hybrid Sensor-Vehicular Networks by Tz-Heng Hsu, Ying-Chen Lo

“…The proposed algorithm can increase packet delivered ratio at each mobile node. …”
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PERBANDINGAN KLASIFIKASI ALGORITMA C5.0 DENGAN CLASSIFICATION AND REGRESSION TREE (STUDI KASUS: DATA SOSIAL KEPALA KELUARGA MASYARAKAT DESA TELUK BARU KECAMATAN MUARA ANCALONG TAH... by Reni Pratiwi, Memi Nor Hayati, Surya Prangga

“…Many methods can be used in decision trees, including the C5.0 algorithm and Classification and Regression Tree (CART). …”
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Hybrid Electro Search with Ant Colony Optimization Algorithm for Task Scheduling in a Sensor Cloud Environment for Agriculture Irrigation Control System by Murali Subramanian, Manikandan Narayanan, B. Bhasker, S. Gnanavel, Md Habibur Rahman, C. H. Pradeep Reddy

“…Electro search and the ant colony optimization algorithm are combined in the proposed method. Compared to HESGA, HPSOGA, AC-PSO, and PSO-COGENT algorithms, the created HES-ACO algorithm was simulated at CloudSim and found to optimize all parameters.…”
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Analysis of Public Sentiment Towards POLRI's Performance using Naive Bayes and K-Nearest Neighbors by Yusuf Handika, Isa Faqihuddin Hanif, Firman Noor Hasan

“…This study employs two distinct sentiment analysis methods: the Naive Bayes algorithm and the K-Nearest Neighbors. Analysis of 1285 tweets reveals prevailing satisfaction with POLRI's performance, indicated by many positive sentiments. …”
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A novel solid waste instance creation for an optimized capacitated vehicle routing model using discrete smell agent optimization algorithm by Ahmed T. Salawudeen, Olusesi A. Meadows, Basira Yahaya, Muhammed B. Mu'azu

“…The developed model was optimized using a new discrete smell agent optimization (SAO) algorithm and compared to firefly algorithm (FA) and particle swarm optimization (PSO). …”
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A Dynamic Hierarchical Clustering Data Gathering Algorithm Based on Multiple Criteria Decision Making for 3D Underwater Sensor Networks by Xiaoying Song, Wei Sun, Qilong Zhang

“…Furthermore, a sorting algorithm is used to form a clustering topology algorithm to solve the problem that there is the only node in one cluster. …”
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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning by Junyao Ding, Jianchao Du, Hejie Wang, Song Xiao

“…Then, the improved genetic algorithm is used to search for the global optimal feature subset further. …”
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The Whale Optimization Algorithm and Markov Chain Monte Carlo-Based Approach for Optimizing Teacher Professional Development in Creative Learning Design with Technology by Kalliopi Rigopouli, Dimitrios Kotsifakos, Yannis Psaromiligkos

“…In this article, we present a hybrid optimization methodology using the whale optimization algorithm and Markov Chain Monte Carlo sampling technique in a teachers’ training development program regarding creativity in technology-enhanced learning design. …”
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Hyperparameter Optimization for Problem-Based Custom CNN Architectures Using a Smart Grid Search Method by H. Aktas

“…To classify the ripe and unripe pistachios with a small-sized and high test accuracy model, a two-layer CNN architecture&#x2019;s hyperparameters were optimized with the proposed algorithm. The implementation of the proposed algorithm took 14 hours and 17 minutes, and the algorithm calculated 173 different CNN architectures with different parameters. …”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

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Optimizing Fleet Size in Point-to-Point Shared Demand Responsive Transportation Service: A Network Decomposition Approach by Fudong Xie, Ce Wang, Housheng Duan

“…Numerical experiments show that the performance of the NTRDAC algorithm is quite encouraging and fit for large-scale practical problems.…”
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State-of-the-Art Document Image Binarization Using a Decision Tree Ensemble Trained on Classic Local Binarization Algorithms and Image Statistics by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

“…Image binarization algorithms reduce the original color space to only two values, black and white. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. …”
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