The modified deep first search algorithm: functional implementation by Constantin Ciubotaru

“…The article includes the modified deep first search algorithm (DFS) that allows, at a single traversal of a graph, to check its connectivity/biconnectivity, highlight the cut vertices, and build the spanning tree, the biconnected components, and the fundamental set of cycles. …”
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Response of Alfalfa Yield to Rates and Ratios of N, P, and K Fertilizer in Arid and Semi-Arid Regions of China Based on Meta-Analysis by Huipeng Ren, Songrui Ning, An Yan, Yiqi Zhao, Ning Li, Tingting Huo

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Quantum approximate optimization algorithms for maximum cut on low-girth graphs by Tongyang Li, Yuexin Su, Ziyi Yang, Shengyu Zhang

“…In quantum computing, Farhi, Gutmann, and Goldstone proposed the quantum approximate optimization algorithm (QAOA) for solving the MaxCut problem. Its guarantee on the cut fraction (the fraction of edges in the output cut over all edges) was mainly studied for high-girth graphs, i.e., graphs with only long cycles. …”
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Research on VHF Band Signal Modulation Classification and Recognition Methods Based on Algorithm of First-Order Cyclic Moment by Faquan Yang, Zan Li, Zhongliang Luo

“…In view of the problem of modulation recognition algorithm existing about low recognition rate under environment condition of low SNR，the algorithm of first-order cyclic moment was first presented used in band signal of VHF modulation classification recognition.The first-order cycle frequencies at which estimated first-order cyclic moment magnitudes exceed the cut-off value were selected as candidate cycle frequencies based on estimation first-order cyclic moment at first-order cycle frequency series，then decided to choose the number of candidate cycle frequency by a cyclostationarity test to realize signal modulation classification recognition.The classification recognition rate can reach more than 98% under condition of SNR is greater than -6 dB.…”
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Thermoeconomic optimization of a hybrid power and cooling facility using waste heat recovery from a marine diesel engine by Mohamed Bechir Ben Hamida, Waqid Al-Mussawi, Mohamed Shaban, Mohammad Marefati

“…Ultimately, 2-archive multi-objective cuckoo search algorithm-based optimization (MOCS2arc algorithm) establishes the optimized conceptual design. …”
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Applying Genetic Algorithm for test pattern generation process optimization by V. I. Kuraedov

“…Conducted research regarding usage of genetic algorithm for error discovery, which could lead to a failure in the end product.Result. …”
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A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes by Himan Shahabi, Ataollah Shirzadi, Alicja Ustrzycka, Natalia Piotrowska, Janusz Filipiak, Marzieh Hajizadeh Tahan

“…In this study, a random forest (RF), M5P, AMT, and Gaussian process (GP) are the four cutting-edge ML algorithms that are compared with the proposed hybrid model (ARAMT). …”
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Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability by Jayant M. Raut, Prashant B. Pande, Kamlesh V. Madurwar, Rajesh M. Bhagat, Satyajit S. Uparkar, Nilesh Shelke, Haytham F. Isleem, Arpita, Vikrant S. Vairagade

“…Most models available for Life Cycle Assessment (LCA), however, do not capture the dynamism of real-time data and the existing levels of uncertainty, and decision-making frameworks are not adaptive to evolving sets of criteria. …”
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Research of wavelet analysis in hydropower station feeder fault quick detection algorithm by Wan Haoping

“…A feeder microcomputer protection algorithm based on Symlets5 wavelet is proposed to address the current situation of long sampling algorithm time in commonly used microcomputer relay protection devices for hydropower station feeders, as well as the increasingly strict timeliness requirements for cutting off faults in modern relay protection devices. …”
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Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach by Vasileios Xezonakis, Olusegun David Samuel, Christopher Chintua Enweremadu

“…The lowest root-mean-square error value for a multilayer perceptron (MLP) architecture is 3.631%, which is lower than the values of 4.17%, 4.35%, and 4.63% for comparable MLP structures (20 to 500), documented in the literature. The LM and BR algorithms outperform SCG. These adopted algorithms could be a cutting-edge application in the power plant industry and other real-world applications for reliable solutions, to satisfy emerging societal needs with environmental benefits.…”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…Given that more and more oil reservoirs are reaching the high water cut stage during water flooding, the construction of an advanced algorithmic model for identifying inter-well connectivity is crucial to improve oil recovery and extend the oilfield service life cycle. …”
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Study on Piping Layout Optimization for Chiller-Plant Rooms Using an Improved A* Algorithm and Building Information Modeling: A Case Study of a Shopping Mall in Qingdao by Xiaoliang Ma, Hongshe Cui, Yan Zhang, Xinyao Wang

“…This study presents an automated routing framework that couples Building Information Modeling (BIM) with an enhanced A* search to produce collision-free, low-resistance pipelines while simultaneously guiding component selection. The algorithm embeds protective buffer zones around equipment, reserves maintenance corridors through an attention-based cost term, and prioritizes 135° elbows to cut local losses. …”
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NANUQ+: A divide-and-conquer approach to network estimation by Elizabeth S. Allman, Hector Baños, John A. Rhodes, Kristina Wicke

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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

“…The results indicated that during the 30-day period and 115 cutting cycles of the face straightness prediction, achieving an accuracy rate of 81.4%.…”
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Large language models in the management of chronic ocular diseases: a scoping review by Jiatong Zhang, Xiaoxi Song, Bocheng Tian, Mingke Tian, Zhichang Zhang, Jing Wang, Ting Fan

“…Large language models, a cutting-edge technology in artificial intelligence, are reshaping the new paradigm of chronic ocular diseases management. …”
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Energy Management Strategy Optimization of HEV based on Driving Pattern Recognition by Liu Yonggang, Xie Qingbo, Qin Datong, Lei Zhenzhen

“…The 23 typical driving cycles are chosen from ADVISOR software and five categories are divided by using clustering analysis method,the key parameters of each category are optimized by using particle swarm algorithm,with the goal of reducing fuel consumption,relevant optimized results are saved in database,an energy management strategy optimization method of HEV based on driving pattern recognition is proposed.Finally,the simulation analysis for the energy management is carried out under a comprehensive test cycle,simulation results show that vehicle fuel consumption is cut down 12. 77%,and the deviation of the battery SOC have greatly decrease compare with other energy management strategy which based on driving pattern recognition.…”
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Research on Avoidance of Energy Hole Scheme in the Wireless Mesh Network by Chunlong Lu, Yuchun Cao, Guangxue Yue

“…The simulation results show that using this strategy can effectively relieve the energy hole problem in wireless mesh network, prolong the network life cycle and cut down the network residual energy rate.…”
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Real-Time Compression Scheme for Urban Rail Transit Train Operation Data by LI Dexiang, WANG Linmei, WANG Shu

“…The scheme is proved to be effective by the real-time verification test of algorithms and the verification test of the actual train operation data. …”
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Pelvic Kinematics during Gait Following Long-Segment Spinal Fusion Due to Adult Spinal Deformity: An Analysis Using a Smartphone-Based Inertial Measurement Unit by Masanari Takami, Daisuke Nishiyama, Shunji Tsutsui, Keiji Nagata, Yuyu Ishimoto, Kotaro Oda, Hiroshi Iwasaki, Hiroshi Hashizume, Hiroshi Yamada

“…Acceleration in three axial directions and angular velocity around the three axes were recorded simultaneously during gait, and data were cut out for each gait cycle. Of 1043 features obtained, the top 20 features with the smallest p-value in a statistical comparison were selected. …”
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Risk Diagnosis Analysis of Ethane Storage Tank Leakage Based on Fault Tree and Fuzzy Bayesian Network by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Qing Li

“…Then, through the analysis of minimal cut sets, the fundamental causes of ethane tank leakage risk are identified, including cracking, instability, and corrosion perforation. …”
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