Mutations in Mycobacterium tuberculosis Isolates with Discordant Results for Drug-Susceptibility Testing in Peru by L. Solari, D. Santos-Lazaro, Z. M. Puyen

“…Obtained sequences were aligned “through reference” (genomic mapping) using the program BWA with the algorithm “mem”, using as a reference the genome of the M. tuberculosis H37Rv strain. …”
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Lossy Joint Source-Channel Coding Using Raptor Codes by O. Y. Bursalioglu, M. Fresia, G. Caire, H. V. Poor

“…The use of systematic raptor encoders is proposed, in order to obtain a continuum of coding rates with a single basic encoding algorithm. Simulations show that the proposed scheme can outperform the separated baseline scheme for finite coding length and comparable complexity and, as expected, it is much more robust to channel errors in the case of channel capacity mismatch.…”
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Vehicle Detection and Tracking Based on Improved YOLOv8 by Yunxiang Liu, Shujun Shen

“…In terms of tracking, MOTA, IDF1 and MOTP of the BoTSORT algorithm on the test video were superior to those of DeepSORT and ByteTrack. …”
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Moor: Model-based offline policy optimization with a risk dynamics model by Xiaolong Su, Peng Li, Shaofei Chen

“…Finally, we use a risk-averse algorithm to learn the policy on the combined dataset of offline and generated data. …”
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Water Supply Scheduling for Cross-basin Reservoir Groups Based on Improved Scheduling Diagram by ZHAO Siqi, XU Wei, CHEN Si, WANG Sufan, YANG Yi

“…To exploit the scheduling potential of cross-basin reservoir groups by employing runoff information,this paper proposes an improved reservoir scheduling diagram to retain simplicity and intuitiveness.Taking the Xiajiankou,Fengyan,and Nanpeng reservoirs in Banan District of Chongqing as an example,it adopts the POA algorithm to build a joint scheduling model of water diversion and water supply for the cross-basin reservoir groups by a simulation-optimization approach.Meanwhile,three scenarios of the current situation scheduling,optimized scheduling with conventional scheduling diagrams,and optimized scheduling with improved scheduling diagrams are set up to evaluate the water diversion and supply performance of reservoirs and analyze the influence of uncertainty runoff information on the scheduling performance.The results are as follows:① The improved scheduling diagram performs best in the long series scheduling,and it can increase the annual average water supply of the reservoir group by 6.87% and reduce the abandoned water by 87.58% compared with the current situation scheduling;② In a dry year,the method can reduce 486.3×10⁴ m³ of water shortage and increase 477.6×10⁴ m³ of water for power generation based on the current situation scheduling;③ When considering the runoff information uncertainty,the water supply of the improved scheduling diagram is 3.37% lower than the ideal case but is still 5.96% more than the conventional optimization.The results are conducive to making scientific decisions and improving the water supply effect.…”
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Multivehicle Cooperative Lane Change Control Strategy for Intelligent Connected Vehicle by Jie Ni, Jingwen Han, Fei Dong

“…The rolling optimization time domain algorithm is used to solve the optimization control problem step by step. …”
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Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method by Daniyal Irfan, Xuan Tang, Vipul Narayan, Pawan Kumar Mall, Swapnita Srivastava, V. Saravanan

“…The accuracy-based artificial intelligence and genetic algorithm-based prediction are becoming more important in business intelligence, with the crossover revealing the highest percentage of interest-based profit in the food industry. …”
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Linguistic Analysis of Hindi-English Mixed Tweets for Depression Detection by Carmel Mary Belinda M J, Ravikumar S, Muhammad Arif, Dhilip Kumar V, Antony Kumar K, Arulkumaran G

“…In this proposed approach, data has been collected from Twitter and screened via passing them through a classifier built using the multinomial Naive Bayes algorithm and grid search, the latter being used for hyperparameter optimization. …”
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Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching by Gurman Gill, Reinhard R. Beichel

“…This yields an initial segmentation for the 4D volume, which is then refined by using a 4D optimal surface finding algorithm. The approach was evaluated on a diverse set of 152 CT scans of normal and diseased lungs, consisting of total lung capacity and functional residual capacity scan pairs. …”
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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions by Paul Baxter

“…This behavioural alignment is facilitated by a human memory-inspired learning algorithm that adapts in real-time over the course of an interaction. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Two segmentation methods for the contour extraction were investigated: a classical approach using the watershed algorithm and a U-Net architecture. The features were tested using a support vector machine (SVM) on the OpenSARShip and FUSAR-Ship datasets, demonstrating improved results compared to existing handcrafted features in the literature. …”
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Multi-Slot Secure Offloading and Resource Management in VEC Networks: A Deep Reinforcement Learning-Based Method by Zhen Li, Jialong Gong, Xiong Xiong, Dong Wang

“…Given the dynamic nature and high complexity of the JSORA problem, we propose a Filtered Deep Reinforcement Learning-based Secure Offloading and Allocation (FDRL-SOA) algorithm to control the offloading and resource allocation within the cluster. …”
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Hydraulic Fracturing Mechanism of Rock Mass under Stress-Damage-Seepage Coupling Effect by Zhengzheng Cao, Yue Wang, Haixiao Lin, Qiang Sun, Xiaogang Wu, Xiaoshuai Yang

“…Based on the theory of elasticity and Weibull distribution, the statistical damage constitutive model of rock mass and the finite element numerical algorithm are established, by adopting the COMSOL Multiphysics numerical software and MATLAB program. …”
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Quantum Perceptron: A Novel Approach to Predicting Unemployment Levels in North Sumatra Province by Solikhun, Dimas Trianda

“…The application of Quantum Computing to improve the perceptron algorithm in unemployment prediction is a new aspect of this research. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Based on the input and output dataset of CFD, the recursive algorithm including nonlinear autoregressive exogenous model and surrogate-based recurrence framework and the deep learning method for time-series prediction called long short-term memory neural network are used to build the efficient reduced-order model, respectively. …”
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Study on Automotive Back Door Panel Injection Molding Process Simulation and Process Parameter Optimization by Guoqing Wang, Youmin Wang, Deyu Yang

“…For a single evaluation index warpage, least squares method and artificial fish swarm algorithm are used to find the optimal parameter combination. …”
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Damage Detection and Localization from Dense Network of Strain Sensors by Simon Laflamme, Liang Cao, Eleni Chatzi, Filippo Ubertini

“…A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity. …”
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Incoherent Integration Detection Method of Airborne Phased Array Radar in a Multipath Environment by Yili Hu, Yongbo Zhao, Sheng Chen

“…Considering these two characteristics, this paper first proposes a target pairing algorithm for matching the DP range and multipath range of the same target in signal detection, and then, combined with the cell-averaging constant false alarm rate (CA-CFAR) detection model, an incoherent integration detection method for airborne PAR in the multipath environment is proposed. …”
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Orchard: Building large cancer phylogenies using stochastic combinatorial search. by Ethan Kulman, Rui Kuang, Quaid Morris

“…Here, we introduce Orchard, a cancer phylogeny reconstruction algorithm that is fast and accurate using up to 1000 mutations. …”
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COG 11.3 New Features by Heinrichs David, Lent Edward, Lee Chuck

“…This paper describes the major new features available in COG 11.3 including: (a) updated nuclear data libraries; (b) updated activation data; (c) advanced LLNL Fission Reaction Event Yield Algorithm; (d) new time-tagged list-mode detector feature; (e) new spontaneous fission source feature; (f) new alpha and deuteron particle transport; (g) updated electron transport (implementing EGS5 with internal electron library generation using PEGS5); (h) three new estimators for the effective delayed neutron fraction; (i) new input pre-processor options for user-friendly generation of three-dimensional rectangular and triangular lattice geometries; (j) new parallel-processing capabilities for the inverse reactor period and CritDetVR features using MPI; (k) a new imaging detector feature; and (l) details of the modernized COG website at https://cog.llnl.gov. …”
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