You Only Attack Once: Single-Step DeepFool Algorithm by Jun Li, Yanwei Xu, Yaocun Hu, Yongyong Ma, Xin Yin

“…Finally, we discussed the existing issues with the algorithm and outlined future research directions. …”
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Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms by M. B. Amri, M. B. Amri, D. Yedjour, M. E. A. Larabi, F. Berrichi

“…However, the sheer dimensionality of these data poses significant challenges to traditional Machine Learning (ML) methods. This research tackles the high-dimensional challenge of HSI classification with an advanced hybrid framework, leveraging the power of Deep Learning (DL), ML and Evolutionary Algorithms (EA) to conquer this challenge and achieve accurate HSI classification. …”
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Predicting algorithm of attC site based on combination optimization strategy by Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai

“…The algorithm has better portability and higher prediction accuracy compared with the existing advanced algorithms, among which the Pearson correlation coefficient is 0.87, explained variance score is 0.73, root mean square error is 0.006 and mean absolute error is 0.041. …”
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Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…To address these issues, the current research introduces a hybrid strategy enhanced crayfish optimization algorithm (MSCOA). …”
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Development of Traditional Algorithm Used in Denoising to Enhance Contrast of the Color Images by Hanan Ali, Esraa Al-Majed, Asmaa Nadhim, Rahma Saleem

“…With the evolution of life and complexity there is a need to use the images in many scientific fields weather forecast, medical, engineering, and the fact that these images are a lot of distortion during capture due to the availability of cameras and Rate in abundance and in the hands of people who do not have enough experience in how to capture images in terms of quality lighting and distribution has become important use a variety of methods to improve these images show the best form of these methods and improve the image contrast (Contrast Enhancement). In this research applied  traditional algorithm filter to improve the <strong>Adaptive Contrast Enhancement</strong> Global  Filter (ACE _mean) and has been the development of this algorithm to a new two Hybrid algorithms to improve the contrast Enhancement (<strong>Median Contrast Enhancement</strong> ACE_median) and the other algorithm is (<strong>Max & Min Contrast Enhancement ACE_max&min</strong>). the two hybrid algorithms obtained from merging two available methods, first is the traditional algorithm (ACE_mean)  with the second methods of another practice in improving the image is (<strong>Smoothing Images Enhancement</strong>) which is used to removing the noise from images .the results of each method were compared with the results of  other algorithms to show the best of them.…”
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Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm by Xuefeng Zhao, Qiantai Yang, Gangwen Yan, Xiongtao Fan, Yinghui Yang, Huizhong Zhang, Song Chen

“…This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. The novelty of this research lies in the integration of a genetic algorithm with BIM software to optimize MEP module partitioning, offering a more efficient and systematic approach to the modular construction process.…”
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Modeling Parking Occupancy Using Algorithm of 3D Visibility Network by Matej Babic, Branko Ster, Ladislav Hluchy, Giuliana Baiamonte, Michele Cali

“…The modernization of the information communication infrastructure of the regional data transmission network has advanced in order to increase the maximum transmission speed of existing transport routes, ensuring the quality of the service and its reliability. In the present research work, a new approach for the 3D visibility network algorithm has been developed, showing how graph theory applied to wireless sensor networks (WSNs) enables technological development for new solutions in areas such as public infrastructure. …”
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Structural Damage Identification Using Novel Objective Functions and Metaheuristic Algorithms by Moeinoddin Rokhsati, Mohamad Mohamadi Dehcheshmeh, Gholamreza Ghodrati Amiri, Morteza Raissi Dehkordi

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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection by Peng Luo, Rangjia Cai, Yuanbo Guo

“…Detecting cryptographic attack events faces two challenges: 1) Semantic complexity: terminology and abbreviations are diverse, and the same event is described using different vocabulary, sentence structures, and contexts, making it difficult for models to accurately identify specific events; 2) Lack of annotated features: This field relies on manually annotated data for feature learning, but there is a lack of publicly available datasets, and related research is scarce. Thus, we propose a method CLAD: Contrastive Learning Algorithm for Detecting Low-resource Cryptographic Attack Event. …”
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RECOMMENDATION SYSTEM FOR VOCATIONAL MAJOR STREAMING BY C4.5 ALGORITHM by Indra Mukti Prabowo, Subiyanto Subiyanto

“…This study was aimed at presenting decision tree model using C4.5 algorithm in developing a major selection system for vocational schools. …”
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Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

“…To enhance the efficiency of the LLL algorithm in practical applications, this research focuses on parallel optimization of the LLL_FP (LLL double-precision floating-point type) algorithm from the NTL library on the domestic Tianhe supercomputer using the Phytium ARM V8 processor. …”
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Study on Lightweight Bridge Crack Detection Algorithm Based on YOLO11 by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…The development of computer vision has gradually made bridge crack detection methods based on deep learning to become a research hotspot. In this study, a lightweight bridge crack detection algorithm, YOLO11-Bridge Detection (YOLO11-BD), is proposed based on the optimization of the YOLO11 model. …”
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Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation by Matej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik

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An Improved Multi-Chaotic Public Key Algorithm Based on Chebyshev Polynomials by Chunfu Zhang, Jing Bai, Yanchun Liang, Adriano Tavares, Lidong Wang, Tiago Gomes, Sandro Pinto

“…Due to the similar characteristics of chaotic systems and cryptography, public key encryption algorithms based on chaotic systems are worth in-depth research and have high value for the future. …”
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Optimization of the Offshore Wind Turbines Layout Using Cuckoo Search Algorithm by Ibrahim Abdulwahab, Solomon Andrew Onazi, Gideon Rimamfate, Akande Abdulwasiu, Abubakar Umar, N.A Iliyasu

“…After-which a cuckoo search algorithm technique is employed in the wind farm model to optimize the optimization problem (minimizing the wake effect while improving power output and cost). …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…Conclusions Our empirical study shows that the proposed cross-validation method is useful for hyper-parameter selection (training) and comparing the quality of inferred networks between different algorithms (testing). …”
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A Contribution of Shortest Paths Algorithms to the NetworkX Python Library by Miguel Cruz, Rui Carvalho, André Costa, Luis Pinto, Luis Dias, Paulino Cerqueira, Rodrigo Machado, Tiago Batista, Pedro Castro, Jorge Ribeiro

“…As a contribution and to foster further research in this shortest path specific context field, the dataset and Python code of the algorithms are available in a GitHub opensource repository.…”
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Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System by Monsurat Omolara Balogun, Latifat Adeola Odeniyi, Elijah Olusola Omidiora, Stephen Olatunde Olabiyisi, Adeleye Samuel Falohun

“…The Negative Selection Algorithm (NSA) is one of the major algorithms of the Artificial Immune System, inspired by the operation of the mammalian immune system for solving classification problems. …”
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Comparison of KNN and Random Forest Algorithms on E-Commerce Service Chatbot by Fardan Zamakhsyari, Bagas Adi Makayasa, R. Abudullah Hamami, Muhammad Tulus Akbar, Andi Cahyono, Amirullah Amirullah, Muhammad Zida Hisyamuddin, Maria Ulfah Siregar

“…The researcher used machine learning techniques with KNN and Random Forest algorithms in this case. …”
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