Shine on: Review of Laser- and Light-Based Therapies for the Treatment of Burn Scars by C. Scott Hultman, Renee E. Edkins, Clara N. Lee, Catherine T. Calvert, Bruce A. Cairns

“…Three different platforms are now poised to alter our reconstructive algorithm: (1) vascular-specific pulsed dye laser (PDL) to reduce hyperemia, (2) ablative fractional CO2 laser to improve texture and pliability of the burn scar, and (3) intense pulsed light (IPL) to correct burn scar dyschromia and alleviate chronic folliculitis. …”
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Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs by Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Cláudio T. Silva, Sarang Joshi

“…In this paper, we present a solution based on two key ideas: a new registration method that generates a mapping between anatomies represented as a multicompartment model of class posterior images and geometries and an implementation of the algorithm using particle mesh approximation on Graphical Processing Units (GPUs) to fulfill the computational requirements. …”
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Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…After that, in view of the problem that the prediction accuracy of the GRU model was low in the continuous rainfall scenario, the APSO algorithm was used to optimize the parameters of the GRU network, and the APSO-GRU prediction model was constructed and verifications under the same road section and rain scene were carried out. …”
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Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs by Hanaa M. Hussain, Khaled Benkrid, Ali Ebrahim, Ahmet T. Erdogan, Huseyin Seker

“…In this work, a parameterized implementation of the K-means clustering algorithm in Field Programmable Gate Array (FPGA) is presented and compared with previous FPGA implementation as well as recent implementations on Graphics Processing Units (GPUs) and GPPs. …”
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Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…We instantiate the model withtwo well-known weak and strong delay kernels and perform simulations by using an algorithm to generate trajectories of this process.…”
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Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities by Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li

“…Secondly, an NSSI detection algorithm based on the spatiotemporal features of indoor activities (NssiDetection) is proposed. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…By fusing word embeddings with evolutionary descriptors, it applies the SHapley Additive exPlanations (SHAP) algorithm for optimal feature selection and uses eXtreme Gradient Boosting (XGBoost) for classification. …”
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Functionally-Equivalent Formalization and Automated Model Checking of Function Block Diagrams by Tomas Ausberger, Karel Kubicek, Pavla Medvedcova

“…This method can be used for automatic verification of I&C algorithms by model checking while preserving obtained proofs from a formalised model in the original algorithm. …”
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Meteorological-Hydrological-Agricultural Drought Analysis of Devegeçidi Reservoir by Nermin Şarlak, Abdullah Muratoğlu, Şahnaz Tiğrek

“…The monthly average reservoir volume, monthly total water inflow and monthly total water consumption data for the years 2008-2021 were first analyzed by Mann-Kendall trend analysis method and then by Locally Weighted Scatterplot Smoothing algorithm. Standard Precipitation Index (SPI), Palmer (PDSI) and self-calibrated Palmer (sc-PDSI) drought indices were applied to reveal the relationship between hydrological drought problem and precipitation data. …”
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A Review of Characterization Approaches for Smallholder Farmers: Towards Predictive Farm Typologies by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna Q. Yonah

“…Characterization of smallholder farmers has been conducted in various researches by using machine learning algorithms, participatory and expert-based methods. …”
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Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

“…The monitoring system detects any deviations from the normal operation of CAVs using a long-short term memory (LSTM) neural network proposed by the authors and reverts the system back to a safe state of operation using a set of countermeasures. The proposed algorithm was also compared to convolutional neural network (CNN) and other classical algorithms. …”
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Case Series of Zone III Resuscitative Endovascular Balloon Occlusion of the Aorta in Traumatic Shock Patients by Byungchul Yu, Gil Jae Lee, Kang Kook Choi, Min A Lee, Jihun Gwak, Youngeun Park, Jung Nam Lee

“…We aimed to describe our experience of successful Zone III REBOA and to discuss its algorithm, techniques, and related complications. Methods We reviewed consecutive cases who survived from hypovolemic shock after Zone III REBOA placement for 4 years. …”
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Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method by Pei Liu, Junlan Chen, Heyang Sun, Xiucheng Guo, Yan Wang, Zhenjun Zhu

“…Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. …”
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Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

“…The proposed framework utilizes a CodeBERT-based algorithm for defect prediction, optimizing model hyperparameters to achieve superior accuracy. …”
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Identification of Attack on Data Packets Using Rough Set Approach to Secure End to End Communication by Banghua Wu, Shah Nazir, Neelam Mukhtar

“…For cross validation purposes, the decision rules and decomposition tree algorithms were used. The DR algorithm showed accuracy of 59.1%, while the DT showed accuracy of 61.5%. …”
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Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking by Baenil Huda, Irwan Sembiring, Iwan Setiawan, Danny Manongga, Hindriyanto Dwi Purnomo, Hendry Hendry, Ahmad Fauzi, April Lia Hananto, Tukino Tukino

“…Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. …”
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Identifiability of mathematical models in medical biology by S. I. Kabanikhin, D. A. Voronov, A. A. Grodz, O. I. Krivorotko

“…In this review article, the following approaches are considered: the transfer function method applied to linear models (useful for analysis of pharmacokinetic data, since a large class of drugs is characterized by linear kinetics); the Taylor series expansion method applied to nonlinear models; a method based on differential algebra theory (the structure of this algorithm allows this to be run on a computer); a method based on graph theory (this method allows for analysis of the identifiability of the model as well as finding a proper reparametrization reducing the initial model to an identifiable one). …”
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FANT: Flexible Attention-Shifting Network Telemetry by Mingwei Cui, Yufan Peng, Fan Yang

“…To further save bandwidth, we model the attention-shifting process and apply heuristic algorithms to solve it. Our experiments show that FANT effectively supports the operation of ANT network applications. …”
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Research on Safe Driving Evaluation Method Based on Machine Vision and Long Short-Term Memory Network by Dongmei Shi, Hongyu Tang

“…The time stream channel uses a single-shot multibox detector (SSD) algorithm to calculate the adjacent two frames of video sequence for the detection of small objects such as face and eyes. …”
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A renewable integrated multi-area system for LFC incorporating electrical vehicle with SoC estimation by F. Lalhmangaihzuala, Subir Datta, Samuel Lalngaihawma, Taha Selim Ustun, Akhtar Kalam

“…The controller parameters undergo optimization by applying an innovative optimization method called the Mine Blasting algorithm, which utilizes an integral square error (ISE)-based fitness function. …”
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