Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…Traditional methods rely on algorithms designed based on expert experience to embed watermarks into the time domain or transform domain of signals. …”
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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…This article provides a comprehensive review and a multi-faceted analysis of recent algorithms for anomaly detection in network security. …”
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Minimising surface-code failures using a color-code decoder by Asmae Benhemou, Kaavya Sahay, Lingling Lao, Benjamin J. Brown

“…Of independent interest, we also demonstrate an exponential improvement in logical error rate for our decoder used to correct independent and identically distributed bit-flip errors affecting the color code compared with more conventional color-code decoding algorithms.…”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…In this paper, the different computation efficiencies of the algorithms are compared according to the computing times of relevant algorithms.…”
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Information in Plant Life and Development: A Biosemiotic Approach by Peter W. Barlow

“…Developmental transformations can also be described in symbolic form by means of L-system algorithms (after A. …”
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Generative Local Interpretable Model-Agnostic Explanations by Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi, Shahram Rahimi, Logan Cummins, Ghodsieh Ghanbari

“…To address this issue, algorithms such as LIME and SHAP (Kernel SHAP) have been introduced. …”
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Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features by You Wu, Ke Tang, Chunzheng Wang, Hao Song, Fanfan Zhou, Ying Guo

“…In this study, by integrating cellular transcriptome and cell viability data using four machine learning algorithms (support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM)) and two ensemble algorithms (voting and stacking), highly accurate prediction models of 50% and 80% cell viability were developed with area under the receiver operating characteristic curve (AUROC) of 0.90 and 0.84, respectively; these models also showed good performance when utilized for diverse cell lines. …”
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Runtime Scheduling, Allocation, and Execution of Real-Time Hardware Tasks onto Xilinx FPGAs Subject to Fault Occurrence by Xabier Iturbe, Khaled Benkrid, Chuan Hong, Ali Ebrahim, Tughrul Arslan, Imanol Martinez

“…This paper describes a novel way to exploit the computation capabilities delivered by modern Field-Programmable Gate Arrays (FPGAs), not only towards a higher performance, but also towards an improved reliability. Computation-specific pieces of circuitry are dynamically scheduled and allocated to different resources on the chip based on a set of novel algorithms which are described in detail in this article. …”
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Analysis of Blockchain-Technology by Danylo Dvorchuk, Iryna Shpinareva

“…The study explores the comparative advantages and limitations of different blockchain architectures and evaluates emerging optimization techniques such as hybrid consensus algorithms and artificial intelligence-based enhancements. …”
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StrideHD: A Binary Hyperdimensional Computing System Utilizing Window Striding for Image Classification by Dehua Liang, Jun Shiomi, Noriyuki Miura, Hiromitsu Awano

“…As an extension, the iterative retraining mode of StrideHD averagely provides 11.33% accuracy improvement to its single-pass mode, which can be accomplished in fewer iterations in comparison with the baseline HD algorithms. The hardware implementation also demonstrates that StrideHD achieves over 9.9<inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula> and 28.8<inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula> reduction compared with baseline in area and power, respectively.…”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…The study employs K-nearest neighbors, decision tree (j48), and random forest algorithms, and then compares their performance using the IRIS dataset. …”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…In the past couple of years, deep learning algorithms have not only improved the classification performance in various disciplines (e.g., in image processing and natural language processing), but also reduced the complexity of feature extraction and selection processes. …”
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Gossiping with interference in radio ring networks by Jean-Claude Bermond, Takako Kodate, Joseph Yu

“…We first show lower bounds and then give gossiping algorithms which meet these lower bounds and so are optimal. …”
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Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings by Amber Ahmad, Sahil Ahmad, Rida Ahmad, Jahnavi Bodi, Abdulla Mohamed, Ahmad Wasim

“…Results and conclusion: The potential of AI algorithms is also being extended for predicting the onset of diseases in the future and for predicting the long-term prognosis of diseases. …”
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SOFTWARE DE PREDICCIÓN DEL NIVEL DE MONÓXIDO DE CARBONO (CO) DEL AIRE EN LA UNIVERSIDAD LIBRE SEDE BOSQUE by Jaime Alfonso Lemus Casas, Ricardo Andres Santa Quintero

“…Thesetwo mechanisms for obtaining environmental data provide a large amount of data that must be stored, processed, andvalidated before being used by the algorithms that generate predictions of carbon monoxide levels. …”
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Diagnosis and treatment of acute coronary syndrome during the novel coronavirus infection COVID-19 pandemic by A. M. Namitokov, O. P. Ishevskaya, V. I. Fetisova, E. D. Kosmacheva, V. A. Porkhanov

“…Due to absence of well-defined algorithms and guidelines, the treatment of patients with acute coronary syndrome (ACS) in different countries is carried out differently. …”
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Considering the ethical aspects of artificial intelligence application from the consumer perspective by Jovanka Vukmirović, Lola Maričić, Selena Stanojevic, Aleksandra Vukmirović, Ivan Mandić

“…Artificial intelligence (AI) uses large datasets to "train" algorithms that make autonomous decisions, leading to significant changes across fields, including digital marketing and personalized advertising. …”
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A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization by M. Rezghi, M. Yousefi

“…At each step of ALS algorithms two convex least square problems should be solved, which causes high computational cost.   …”
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Formation-Containment Control of Second-Order Multiagent Systems via Intermittent Communication by Mao-Dong Xia, Cheng-Lin Liu, Fei Liu

“…Distributed coordination control algorithms are proposed under aperiodic intermittent communication, where each agent only communicates with its neighboring agents on some disconnected time intervals. …”
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Optimization of Base Location and Patrol Routes for Unmanned Aerial Vehicles in Border Intelligence, Surveillance, and Reconnaissance by Yao Liu, Zhong Liu, Jianmai Shi, Guohua Wu, Chao Chen

“…The performance of the two algorithms is analysed and compared through randomly generated instances.…”
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