Outlier detection algorithm based on fast density peak clustering outlier factor by Zhongping ZHANG, Sen LI, Weixiong LIU, Shuxia LIU

“…For the problem that peak density clustering algorithm requires human set parameters and high time complexity, an outlier detection algorithm based on fast density peak clustering outlier factor was proposed.Firstly, k nearest neighbors algorithm was used to replace the density peak of density estimate, which adopted the KD-Tree index data structure calculation of k close neighbors of data objects, and then the way of the product of density and distance was adopted to automatic selection of clustering centers.In addition, the centripetal relative distance and fast density peak clustering outliers were defined to describe the degree of outliers of data objects.Experiments on artificial data sets and real data sets were carried out to verify the algorithm, and compared with some classical and novel algorithms.The validity and time efficiency of the proposed algorithm are verified.…”
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Outlier detection algorithm based on fast density peak clustering outlier factor by Zhongping ZHANG, Sen LI, Weixiong LIU, Shuxia LIU

“…For the problem that peak density clustering algorithm requires human set parameters and high time complexity, an outlier detection algorithm based on fast density peak clustering outlier factor was proposed.Firstly, k nearest neighbors algorithm was used to replace the density peak of density estimate, which adopted the KD-Tree index data structure calculation of k close neighbors of data objects, and then the way of the product of density and distance was adopted to automatic selection of clustering centers.In addition, the centripetal relative distance and fast density peak clustering outliers were defined to describe the degree of outliers of data objects.Experiments on artificial data sets and real data sets were carried out to verify the algorithm, and compared with some classical and novel algorithms.The validity and time efficiency of the proposed algorithm are verified.…”
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Fisher Information-Based Optimization of Mapped Fourier Grid Methods by Sotiris Danakas, Samuel Cohen

“…The mapped Fourier grid method (mapped-FGM) is a simple and efficient discrete variable representation (DVR) numerical technique for solving atomic radial Schrödinger differential equations. …”
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Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review by Maryam Azam, Shah Khalid, Sulaiman Almutairi, Hasan Ali Khattak, Abdallah Namoun, Amjad Ali, Hafiz Syed Muhammad Bilal

“…Given the rapid increase of textual data in various fields, text summarization has become essential for efficient information handling. Over recent decades, numerous methods have been proposed to enhance summarization processes, and various review papers and books have been published to encapsulate these methodologies and discuss their implications. …”
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Research progress on SCR catalysts for the synergistic removal of NO and VOCs from coal-fired power plants flue gas: A review by CHEN Yin, LIAO Yanfen*, MA Xiaoqian

“…Synergistic NO and VOCs removal from coal-fired power plants flue gas in the SCR zone can efficiently cut treatment costs, which needs scientific investigation and is of environmental benefits. …”
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Design of Arduino Computer Numerical Control Machine. by Mujurizi Frank

“…Using small machine tools to fabricate small scale parts will provide both flexibility and efficiency in manufacturing approaches and reduce capital cost, and complexity in CNC systems which is beneficial for small business owners.…”
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Predictive model of small choroidal melanoma progression after eye-saving treatment based on clinical, morphometric and immunological parameters by E. B. Myakoshina, I. G. Kulikova, N. V. Balatskaya, L. A. Katargina, S. V. Saakyan

“…Usage of present models for prediction of the uveal melanoma course enables optimal management of the patients with a malignant tumor upon primary admission, and to perform maximally efficient counseling. So far, however, a complex of clinical, morphometric and immunological indexes predictive for unfavorable course of initial choroidal melanoma following the eye-saving treatment remains not fully determined. …”
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DWE: Research on Water Quality Inversion and Scalability in Small Watersheds Using UAV Remote Sensing Data by Hao Li, Zhijun Xie, Xing Jin, Changchun Peng, Cheng Ren, Yunfei Mao, Kefan Zhou, Yingying Li

“…Urban rivers are faced with serious water quality deterioration, and an efficient, comprehensive and accurate dynamic monitoring method for urban water quality is urgently needed. …”
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Twist-Induced Beam Steering and Blazing Effects in Photonic Crystal Devices by Nicolas Roy, Beicheng Lou, Shanhui Fan, Alexandre Mayer, Michaël Lobet

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Leveraging Machine Learning for Advancing Circular Supply Chains: A Systematic Literature Review by Zeinab Farshadfar, Tomasz Mucha, Kari Tanskanen

“…<i>Background</i>: Circular supply chains (CSCs) aim to minimize waste, extend product lifecycles, and optimize resource efficiency, aligning with the growing demand for sustainable practices. …”
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Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms i... by Yue Chen, Weili Kou, Wenna Miao, Xiong Yin, Jiayue Gao, Weiyu Zhuang

“…This study aimed to accurately map burned forest areas and analyze the spatial distribution of forest fires under complex terrain conditions. This study integrates Landsat 8, Sentinel-2, and MODIS data to map burned forest areas in the complex terrain of western Yunnan. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. …”
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Research advances and development trends of wire-based laser directed energy deposition additive manufacturing technology by YUAN Yucheng, SONG Jun, LUO Jiajie, LI Xiangru, SONG Bo, SHI Yusheng

“…Wire-based laser directed energy deposition （W-LDED） technology， as an important branch of additive manufacturing， has notable advantages such as high efficiency， high precision， and high material utilization， making it promising for applications in the manufacturing of high-end equipment. …”
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Recombinant HMG1 Protein Produced in Pichia pastoris: A Nonviral Gene Delivery Agent by A.R. Mistry, L. Falciola, L. Monaco, R. Tagliabue, G. Acerbis, A. Knight, R.P. Harbottle, M. Soria, M.E. Bianchi, C. Coutelle, S.L. Hart

“…This paper describes the production of a recombinant protein from the expression system based on the methylotrophic yeast Pichia pastoris. Efficient production of rat high-mobility-group 1 (HMG1) protein was obtained using the system. …”
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A lightweight YOLO network using temporal features for high-resolution sonar segmentation by Sen Gao, Sen Gao, Wei Guo, Wei Guo, Gaofei Xu, Gaofei Xu, Ben Liu, Ben Liu, Yu Sun, Bo Yuan

“…The system processes non-keyframes by predicting semantic vectors through the trained BiLSTM model, selectively skipping computational layers to enhance efficiency. …”
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Design, Fabrication, and Application of Large-Area Flexible Pressure and Strain Sensor Arrays: A Review by Xikuan Zhang, Jin Chai, Yongfu Zhan, Danfeng Cui, Xin Wang, Libo Gao

“…Flexible sensors typically operate based on resistive and capacitive mechanisms, with their structural designs (e.g., sandwich and fork-finger) affecting integration, recovery, and processing complexity. The careful selection of materials—especially substrates, electrodes, and sensing materials—is crucial for sensor efficacy. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…Machine learning models are chosen for their efficiency in handling structured text data, while deep learning models are selected for their superior ability to capture sequential dependencies and contextual nuances. …”
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Innovative gene delivery systems for retinal disease therapy by Hongguang Wu, Ling Dong, Shibo Jin, Yongwang Zhao, Lili Zhu

“…The human retina, a complex and highly specialized structure, includes multiple cell types that work synergistically to generate and transmit visual signals. …”
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Combating a Global Threat to a Clonal Crop: Banana Black Sigatoka Pathogen Pseudocercospora fijiensis (Synonym Mycosphaerella fijiensis) Genomes Reveal Clues for Disease Control. by Rafael E Arango Isaza, Caucasella Diaz-Trujillo, Braham Dhillon, Andrea Aerts, Jean Carlier, Charles F Crane, Tristan V de Jong, Ineke de Vries, Robert Dietrich, Andrew D Farmer, Claudia Fortes Fereira, Suzana Garcia, Mauricio Guzman, Richard C Hamelin, Erika A Lindquist, Rahim Mehrabi, Olman Quiros, Jeremy Schmutz, Harris Shapiro, Elizabeth Reynolds, Gabriel Scalliet, Manoel Souza, Ioannis Stergiopoulos, Theo A J Van der Lee, Pierre J G M De Wit, Marie-Françoise Zapater, Lute-Harm Zwiers, Igor V Grigoriev, Stephen B Goodwin, Gert H J Kema

“…Melting-curve assays suggest that the genomes of two closely related members of the Sigatoka disease complex, P. eumusae and P. musae, also are expanded. …”
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Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

“…Moreover, this model&#x2019;s scalability and efficiency improve its value for precision agriculture, optimizing resource usage and promoting sustainable farming practices. …”
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