Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution by Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

“…Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. …”
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SF-SAM-Adapter: SAM-based segmentation model integrates prior knowledge for gaze image reflection noise removal by Ting Lei, Jing Chen, Jixiang Chen

“…In inpainting, we employ the advanced inpainting algorithm LAMA (Large Mask inpainting), resulting in significant improvements in gaze tracking accuracy by 0.502°, 0.182°, and 0.319° across three algorithms. …”
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Diagnostic Pitfalls in Newborns and Babies with Blisters and Erosions by Elke Nischler, Alfred Klausegger, Clemens Hüttner, Gabriele Pohla-Gubo, Anja Diem, Johann W. Bauer, Helmut Hintner

“…In this paper we discuss by giving examples the process of making an accurate diagnosis of blistering skin diseases in the neonatal period on the basis of a diagnostic algorithm. In addition, we provide an overview of the rational use and the limitations of laboratory procedures such as microbial testing, routine light microscopy, immunofluorescence antigen mapping, transmission electron microscopy, and molecular genetic analysis.…”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…Our extensive results provide intra-algorithm, intra-architecture and inter-architecture insights, and show that LSTM offers the best performance, across the datasets and proposed architectures.…”
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Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles by Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu

“…The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization.…”
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The Study of Cooperative Obstacle Avoidance Method for MWSN Based on Flocking Control by Zuo Chen, Lei Ding, Kai Chen, Renfa Li

“…Based on traditional flocking control model, this paper introduced a new cooperative obstacle avoidance model combined with improved SA obstacle avoidance algorithm. It defined the tangent line of the intersection of node’s velocity line and the edge of obstacle as the steering direction. …”
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Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning by Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, Dingkang Liang, Xuping Wang

“…Next, the entropy features of these signals were computed, and the Random Forest-Recursive feature elimination with cross-validation (RF-RFECV) algorithm was used to select a high-quality feature subset. …”
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Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…To analyze the performance of the proposed algorithm, numerous experiments were conducted. The results demonstrate that the proposed method achieves a 99.17% accuracy rate in detecting unauthorized movements of radioactive materials, with a missed alarm rate of 0.72% and a false alarm rate of 0.1%. …”
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Sparse Aperture Inverse Synthetic Aperture Radar Imaging for Maneuvering Targets With Migration Through Resolution Cells Correction by Jiaxing Yang, Yong Wang

“…Due to the nonstationarity of the echo, it is hard to form a well-focused sparse aperture inverse synthetic aperture radar (SA-ISAR) image for maneuvering targets by traditional algorithms. In this article, two algorithms are proposed to achieve the translational motion compensation and SA-ISAR imaging with migration through resolution cells (MTRC) correction for maneuvering targets respectively. …”
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

“…Nowadays, data mining algorithms can provide intelligent methods in the health and treatment system that accurately detect breast cancer. …”
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PARE: Profile-Applied Reasoning Engine for Context-Aware System by M. Robiul Hoque, M. Humayun Kabir, Hyungyu Seo, Sung-Hyun Yang

“…However, it is difficult for the rule-based algorithm to reason personalized context, because it requires a large number of rules to apply the user's preferences. …”
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Real-time Detection of Imperfect Wheat Grains on Wheat Pile Surface Based on IDS-YOLO by FAN Jiawei, WU Lan, YAN Jingjing

“…Experimental results demonstrated that the improved IDS-YOLO algorithm achieved a balance between detection speed and accuracy, with an average increase of 6.2% in mean average precision (mAP) when compared with other benchmark algorithms. …”
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Group Mobility Model for Complex Multimission Cooperation of UAV Swarm by Xiaoyan Gu, Feng He, Rongwei Wang, Liang Chen

“…Based on the gravity model of spatial interaction and the correlation between tasks, the reference node selection algorithm is proposed to select the appropriate reference node in the process of node movement. …”
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Fair allocation of fixed cost in one- and two-stage systems using data envelopment analysis by Faranak Hosseinzadeh Saljooghi, Ali reza Pishgooy, Farhad Hamidi

“…Since cross-efficiency in data envelopment analysis handles these conditions of competition and cooperation between units well.Findings: In this article, using the improved cross-efficiency and the proposed algorithm, we allocate a unique fixed cost to the units under evaluation in single-stage and two-stage supply chain systems fairly. …”
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Classification of Different Blueberry Cultivars by Analysis of Physical Factors, Chemical and Nutritional Ingredients, and Antioxidant Capacities by Juan Song, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Si-Zhan Wu, Lu Xu

“…A supervised classification method, partial least squares discriminant analysis (PLSDA), was combined with the global particle swarm optimization algorithm (PSO) and two multiclass strategies, one-versus-rest (OVR) and one-versus-one (OVO), to select discriminative quality factors and develop classification models of the 12 cultivars. …”
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A Hybrid Digital-Signature and Zero-Watermarking Approach for Authentication and Protection of Sensitive Electronic Documents by Omar Tayan, Muhammad N. Kabir, Yasser M. Alginahi

“…While many such complex schemes with resource redundancies are sufficient in offline and less-sensitive texts, this paper proposes a hybrid approach based on zero-watermarking and digital-signature-like manipulations for sensitive text documents in order to achieve content originality and integrity verification without physically modifying the cover text in anyway. The proposed algorithm was implemented and shown to be robust against undetected content modifications and is capable of confirming proof of originality whilst detecting and locating deliberate/nondeliberate tampering. …”
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Typhoid intestinal perforation in Francophone Africa, a scoping review. by Leah Sukri, Audry Banza, Katherine Shafer, Yakoubou Sanoussi, Kathleen M Neuzil, Rachid Sani

“…This study aims to highlight the incidence and morbidity of TIP in Francophone African countries using an extended search algorithm. We conducted a scoping review using the PubMed, EMBASE, and SCOPUS databases with the keywords "peritonitis", "non-traumatic ileal perforation", and "typhoid" in Francophone African countries. …”
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Topology-Aware Bus Routing in Complex Networks of Very-Large-Scale Integration with Nonuniform Track Configurations and Obstacles by Ziran Zhu, Zhipeng Huang, Jianli Chen, Longkun Guo

“…Compared with the top-3 state-of-the-art methods, experimental results show that our proposed algorithm achieves the best overall score regarding specified time limitations.…”
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Multi-Level Foreground Prompt for Incremental Object Detection by Jianwen Mo, Ronghua Zou, Hua Yuan

“…To address this, this paper proposes a multi-level foreground prompt incremental learning algorithm for single-stage detectors like YOLO, including foreground prompts at the image level, feature map level, and knowledge level. …”
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State of charge estimation for lithium‐ion batteries based on square root sigma point Kalman filter considering temperature variations by Davoud Mahboubi, Iraj Jafari Gavzan, Mohammad Hassan Saidi, Naghi Ahmadi

“…The comparison results indicate the error of the proposed algorithm is about 0.02 under the most test conditions.…”
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