Teknik Identifikasi Fitur Berdasarkan Kalimat Pernyataan Kebutuhan dalam Konteks Pengembangan Software Product Line by M Syauqi Haris, Tri Astoto Kurniawan

“…The pattern of writing a requirement sentence with boilerplate requirements is used as the basis for automatically identifying software features using natural language processing (NLP) tools. …”
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A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

“…However, the overlap of body postures in group behavior and the similarity of movement patterns between strains pose challenges to accuracy analysis. …”
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features. …”
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Numerical Investigations of Convective Initiation in Barbados by Kim Whitehall, Sen Chiao, Margarette Mayers-Als

“…Localized convection in Barbados accounts for hazardous conditions and a significant percentage of the island’s annual rainfall. The feature results in rainfall accumulations exceeding 50 mm in 3 hours or less, over isolated locations. …”
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Learning to Theorize in a Complex and Changing World by Hillary Swanson, Allan Collins

“…We describe four theory-building competencies that students developed as a result of their participation in the course and highlight the features of instruction that may have played a key role in this development. …”
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A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. by Manimurugan S, Karthikeyan P, Narmatha C, Majed M Aborokbah, Anand Paul, Subramaniam Ganesan, Rajendran T, Mohammad Ammad-Uddin

“…The model benefits from effective feature learning, aided by RBMs that enable the extraction of hierarchical and abstract representations. …”
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Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…Revealing spatial clustering patterns among urban geographic units is crucial for synergistic regional development and integrated urban management. …”
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Seasonal dynamics of hiking activities in mountainous areas: a topography-aware sequential network modeling approach using crowdsourced trajectories by Jiyuan Li, Xiao Feng, Tao Li, Xiping Yang, Weihang Jing, Xiaoshu Cao

“…The paper proposes a topography-aware sequential network model that accounts for terrain resistance and incorporates behaviorally significant feature points, enabling detailed analysis of seasonal dynamics in hiker movement patterns on informal trails in mountainous areas. …”
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Single-cell transcriptomics in colorectal cancer uncover the potential of metastasis and immune dysregulation of a cell cluster overexpressed PRSS22 by Chengyuan Xu, Ziheng Zhou, Dongfei Zhu, Qingyun Zhang, Shoubin Zhong, Zhenhua Li

“…Subsequently, Boruta feature selection algorithm was combined to identify prognosis related genes. …”
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MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm. by Chao Wang, Quan Zou

“…The comparison results shown that MFPSP achieves a more advanced and balanced performance to several state-of-the-art available toolkits. Feature contribution and interaction exploration indicating the proposed model is efficient in uncovering concealed patterns within sequence. …”
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Feasibility of Using Wavelet Analysis and Machine Learning Method in Technical Diagnosis of Car Seats by Cezary BARTMAŃSKI, Alicja BRAMORSKA

“…A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…While existing sequence-based machine learning models for binding affinity prediction have shown potential, they lack accuracy and robustness in pattern recognition, which limits their generalizability across diverse and novel binding complexes. …”
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Research on the spatial evolution process and reconfiguration pathway of mountainous cities based on the human-water relationship in river basins—A case study of Yichang City, Hube... by Mengjie Zhang, Wei Zhai, Ziyang Xiong, Chong Peng

“…At the same time, influenced by the significant and special event of the Three Gorges Project construction, the city has undergone rapid ''leapfrog'' development. Amid population mobility and river basin management needs, Yichang should use its ''water'' feature to integrate function, scale, and structure, focusing on water protection and utilization to ensure national and energy security. …”
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Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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Spatiotemporal Evolution of 3D Spatial Compactness in High-Speed Railway Station Areas: A Case Study of Chengdu-Chongqing North–South Line Stations (2015–2025) by Tijin Gui, Hong Yuan, Ziyi Liu

“…</i> Spatially, the southern line evolved from a <i>dual-core pattern at the terminals</i> to <i>multigradient development</i>, while the northern line maintained stable growth despite gradient discontinuities. …”
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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Though various recommendation techniques exist, there is a need to develop a unique technique for capturing latent factors and patterns from sparse and high-dimensional data in pervasive environments, specifically for optimizing dynamic recommendations. …”
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Joint Optical Performance Monitoring and Modulation Format&#x002F;Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

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MODELING OF URBAN GRAVITY ZONES AND HIERARCHY OF ADMINISTRATIVE CENTERS IN BOSNIA AND HERZEGOVINA USING THE HUFF MODEL“ by Ivan Marić, Aida Avdić, Ante Šiljeg

“…Some discrepancies have been observed between theoretical UGZs and actual administrative regions, mostly due to socio-political factors that significantly influence urban development pattern and social dynamics. It was found that polygons of official administrative units are more complex regarding shape than UGZs, indicating a more fragmented structure. …”
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STRUCTURAL STYLE OF WABI FIELD, OFFSHORE NIGER DELTA NIGERIA, USING SEISMIC AND WELL-LOG DATA by Amakiri, S., Uko, E. D, Tamunobereton-ari

“…From the results, faults and horizons correlated on Wabi wells tied perfectly to reflections on the seismic. The faulting pattern shows that the structural geometry over the Wabi field consist of an elongated N-W to S-E trending, collapsed crest, roll-over structure with two crests separated by a central saddle. …”
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