Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

“…Furthermore, an improved IPSO-SSA-DBP algorithm calibrates the kinematics and predicts the position error. …”
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Coffee-Leaf Diseases and Pests Detection Based on YOLO Models by Jonatan Fragoso, Clécio Silva, Thuanne Paixão, Ana Beatriz Alvarez, Olacir Castro Júnior, Ruben Florez, Facundo Palomino-Quispe, Lucas Graciolli Savian, Paulo André Trazzi

“…In the analyses, YOLOv8s stands out as the most effective, with a mAP of 54.5%, an inference time of 11.4 ms and the best qualitative predictions, making it ideal for real-time applications.…”
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NEW APPROACHES IN TREATMENT OF PATIENTS WITH PERFORATED DUODENAL ULCER by P. N. Romashchenko, N. A. Maistrenko, A. E. Korovin, S. A. Sibirev, P. A. Sidorchuk

“…The results of conducted clinical study showed that in order to establish the correct preoperative diagnosis and the choice of rational treatment of patients with perforated duodenal ulcer it is necessary to conduct a purposeful complex investigation, including an assessment of general somatic state and the operative-anaesthetic risk of patients and changes of pyloroduodenal zone and the severity of peritonitis and prediction of lethality. The diagnostic algorithm let the authors make a diagnosis of perforated duodenal ulcer before the operation and decide on an adequate volume of surgical intervention. …”
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MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization by Fatahlla Moreh, Yusuf Hasan, Bilal Zahid Hussain, Mohammad Ammar, Frank Wuttke, Sven Tomforde

“…This extreme class imbalance poses a challenge for deep learning models with different microscale cracks, as the network can be biased toward predicting the majority class, generally leading to poor detection accuracy for the under-represented class. …”
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Artificial Intelligence in Breast Reconstruction: A Narrative Review by Andrei Iulian Rugină, Andreea Ungureanu, Carmen Giuglea, Silviu Adrian Marinescu

“…AI shows promise in enhancing imaging for tumor detection and surgical planning, improving microsurgical precision, predicting complications such as flap failure, and optimizing postoperative monitoring. …”
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Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…We numerically estimate logical memory performance, finding significant overhead reductions in comparison to architectures without biased noise. …”
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A novel obfuscation method based on majority logic for preventing unauthorized access to binary deep neural networks by Alireza Mohseni, Mohammad Hossein Moaiyeri, Mohammad Javad Adel

“…This study proposes an innovative key-based algorithm-hardware co-design methodology to protect deep neural network (DNN) models from unauthorized access. …”
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Monitoring the Concentrations of Na, Mg, Ca, Cu, Fe, and K in <i>Sargassum fusiforme</i> at Different Growth Stages by NIR Spectroscopy Coupled with Chemometrics by Sisi Wei, Jing Huang, Ying Niu, Haibin Tong, Laijin Su, Xu Zhang, Mingjiang Wu, Yue Yang

“…The effects of four spectral pretreatment methods and three wavelength selection methods, including the synergy interval partial least squares (SI-PLS) algorithm, genetic algorithm (GA), and competitive adaptive reweighted sampling method (CARS) on the model optimization, were evaluated. …”
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A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

“…Once these parameters are stabilized, the algorithm proceeds to calculate acid concentration at each node within the fracture area. …”
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Numerical Simulation of Wind-Induced Vibration Response Characteristics of High-Rise Buildings with Podiums by Guangbiao Jiang, Zeyan Chen, Hongxi Qin, Linlei Dong, Ao Tang

“…High-rise building structures with podiums are widely present, and establishing a fast numerical prediction method to evaluate their wind-induced response characteristics is of great significance for engineering applications. …”
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Identification of potential accident concentrations due to traffic violations by drivers, taking into account the human factor by I. E. Ilyina, E. E. Vitvitsky, K. A. Perekusikhina, V. I. Rassokha

“…The theoretical significance of the work lies in verifying the operability of the proposed algorithm for determining potential concentrations of accidents due to violations of traffic rules by the driver, taking into account the parameters of the human factor, which is also of practical interest from the point of view of predicting accident rates and developing scientifically based measures to improve road safety. …”
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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…Considering the limitations of fixed thresholds and manual detection methods, which are difficult to adapt to the dynamic changes in time series data, this paper proposes an anomaly detection method based on peaks-over-threshold (POT) algorithm for multivariate statistical processes. [Method] The principal component analysis (PCA) method was adopted to construct an anomaly detection model, where the squared prediction error (SPE) statistic of the model served as the initial threshold for the POT algorithm. …”
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Screening of potential regulatory genes in carotid atherosclerosis vascular immune microenvironment. by Yi Zhang, Lingmin Zhang, Yunfang Jia, Jing Fang, Shuancheng Zhang, Xianming Hou

“…Finally, hub genes were identified using the maximum neighborhood component algorithm based on the construction of interaction networks, and their diagnostic efficiency was evaluated.…”
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Advanced Control Technique for Optimal Power Management of a Prosumer-Centric Residential Microgrid by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…To solve the multi-objective power management optimization problem, the Teaching-Learning-Based Optimization (TLBO) algorithm was implemented. This algorithm optimizes day-ahead power scheduling by considering temperature forecasts, energy prices, solar irradiance, system constraints, and user preferences. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…One of the key benefits of the healthcare system is the ability to predict diseases early. Recently, the progress of artificial intelligence (AI) in the healthcare system has been a high priority. …”
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China Aerosol Raman Lidar Network (CARLNET)—Part I: Water Vapor Raman Channel Calibration and Quality Control by Nan Shao, Qin Wang, Zhichao Bu, Zhenping Yin, Yaru Dai, Yubao Chen, Xuan Wang

“…Lastly, based on the radiosonde results, the calibration algorithm established in this study is used to calibrate CARLNET data from October to December 2023. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…Our approach leverages a message-passing (MP) algorithm that decomposes each high-order symbol into multiple BPSK layers, enabling more tractable soft-interference cancellation and extrinsic information updates. …”
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An ImmunoSignature test distinguishes Trypanosoma cruzi, hepatitis B, hepatitis C and West Nile virus seropositivity among asymptomatic blood donors. by Michael Rowe, Jonathan Melnick, Robert Gerwien, Joseph B Legutki, Jessica Pfeilsticker, Theodore M Tarasow, Kathryn F Sykes

“…Signals were used to train a single algorithm that distinguished all four disease states. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Considering the uncertainty of the real-time output of new energy in the microgrid, the proposed two-stage robust economic dispatching model adopts column-and-constraint generation (C&CG) and alternating direction multiplier method (ADMM) combines the column and constraint generation algorithm and joint target cascade analysis algorithm for distributed solution. …”
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Aerodynamic model identification of supersonic aircraft using Bayesian approach-based Box–Jenkins structure by Muhammad Fawad Mazhar, Muhammad Wasim, Manzar Abbas, Imran Shafi, Jamshed Riaz, Tae-hoon Kim, Imran Ashraf

“…Results show good agreement between model predictions and simulated flight data with an accuracy of 82.42%. …”
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