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. …”
Get full text

Analyzing Digital Political Campaigning Through Machine Learning: An Exploratory Study for the Italian Campaign for European Union Parliament Election in 2024 by Paolo Sernani, Angela Cossiri, Giovanni Di Cosimo, Emanuele Frontoni

“…Our findings highlight the significance of micro-targeting practices, the role of algorithmic biases, and the risks associated with disinformation in shaping public opinion. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features by Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin

“…Firstly, voxel-based gray-level discretization (binWidth = 25) and Z-Score normalization were applied to preprocess the patient's ROI and normalize the extracted features. Then, the most predictive radiomic features were selected and their corresponding coefficients were evaluated using the correlation coefficient algorithm and the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. …”
Get full text

A window into the mind-brain-body interplay: Development of diagnostic, prognostic biomarkers, and rehabilitation strategies in functional motor disorders. by Marialuisa Gandolfi, Angela Sandri, Sara Mariotto, Stefano Tamburin, Anna Paolicelli, Mirta Fiorio, Giulia Pedrotti, Paolo Barone, Maria Teresa Pellecchia, Roberto Erro, Sofia Cuoco, Immacolata Carotenuto, Claudia Vinciguerra, Annibale Botto, Lucia Zenere, Elisa Canu, Elisa Sibilla, Massimo Filippi, Elisabetta Sarasso, Federica Agosta, Michele Tinazzi, Group Collaborators Consortium

“…Finally, the algorithm's prognostic value will be explored post-rehabilitation in one subgroup of patients with FMD.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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%. …”
Get full text

Factors associated with engagement in HIV care for young people living with perinatally acquired HIV in England: An exploratory observational cohort study. by Marthe Le Prevost, Ali Judd, Siobhan Crichton, Caroline Foster, Alasdair Bamford, Deborah Ford, Adolescents; Adults Living with Perinatal HIV (AALPHI) Steering Committee

“…We applied it to data from young people with PHIV in the Adolescents and Adults Living with Perinatal HIV (AALPHI) cohort. The algorithm predicts the timing of the next scheduled clinic visit, within 1-6 months of current visit, based on routine clinical data. …”
Get full text

Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…For automatic feature extraction, we used an ensemble machine learning algorithm developed by Yandex — CatBoost (Categorical Boosting).Results. …”
Get full text

Coupled Elastic–Plastic Damage Modeling of Rock Based on Irreversible Thermodynamics by Xin Jin, Yufei Ding, Keke Qiao, Jiamin Wang, Cheng Fang, Ruihan Hu

“…A damage yield function has been established as a criterion for damage occurrence, and the constitutive integration algorithm has been derived using a regression mapping algorithm. …”
Get full text

The neutrophil extracellular trap-related gene FPR1 (formyl peptide receptor 1) as a potential prognostic and therapeutic target in osteosarcoma by Shihao Li, Qiong Yuan, Yuanyuan Zhang, Haiyang Zhang

“…Methods The least absolute shrinkage and selection operator (LASSO) algorithm was employed to construct a NET-related prognostic model utilizing OS datasets from TARGET and GEO (GSE21257) databases. …”
Get full text