Operational Monitoring of Trace Gases over the Mediterranean Sea by Giuseppe Grieco, Guido Masiello, Carmine Serio

“…The retrieval algorithm for trace gases exploits the concept of partially scanned interferogram technique, which is a tool mostly suited for Fourier transform spectrometers in the infrared. …”
Get full text

Feature Extraction of Faulty Rolling Element Bearing under Variable Rotational Speed and Gear Interferences Conditions by Dezun Zhao, Jianyong Li, Weidong Cheng

“…Secondly, resampled signal is obtained by an IDMM-based resampling algorithm; then it is decomposed into a number of Intrinsic Mode Functions (IMFs) based on the EMD algorithm. …”
Get full text

Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

“…The presented model generates Pareto solutions using two proposed meta-heuristic algorithms, multi objective particle swarm optimization and non-dominated sorting genetic algorithm and combination of the two. …”
Get full text

Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis by Lei Cui, Shuai Zhao, Hai long Teng, Biao Yang, Qian Liu, An Qin

“…A novel machine learning framework combining 10 algorithms was developed to construct an Integrin-related Signature (IRS), which demonstrated robust predictive power across multiple datasets. …”
Get full text

An exploratory study of interpretability for face presentation attack detection by Ana F. Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso

“…Abstract Biometric recognition and presentation attack detection (PAD) methods strongly rely on deep learning algorithms. Though often more accurate, these models operate as complex black boxes. …”
Get full text

Area Optimisation for Field-Programmable Gate Arrays in SystemC Hardware Compilation by Johan Ditmar, Steve McKeever, Alex Wilson

“…This paper discusses a pair of synthesis algorithms that optimise a SystemC design to minimise area when targeting FPGAs. …”
Get full text

Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

“…It explores a spectrum of methodologies, from classical word embedding techniques and machine learning algorithms to recent contextual embedding and advanced transformer models like Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), and T5. …”
Get full text

Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model by Victor Fernandez, Virgilio Pérez, Rosa Roig

“…Important aspects include analyzing power consumption, forecasting urban energy demand, and monitoring the State of Charge (SoC) of FEV batteries using innovative algorithms validated through real-world applications in Valencia (Spain) and Ljubljana (Slovenia). …”
Get full text

DEVELOPMENT OF A GRAVITATIONAL AND PENDULUM SOLAR TRACKER FOR STANDALONE PHOTOVOLTAIC PANELS by Jorge A. Wissmann, Carlos E. C. Nogueira, Marcelo M. M. Zampiva, Jair A. C. Siqueira, Doglas Bassegio

“…A tracking prototype was developed whose structure is classified as chronological due to its fixed rotation, manual as it requires daily adjustment, single-axis azimuthal, and "analog" as it lacks motors, sensors, or algorithms. The results showed that the developed tracking prototype achieved a 9.69% energy production increase during the research period, with peaks of 35.51% on sunny days, and a significant efficiency improvement during the early morning and late afternoon. …”
Get full text

Low-density parity-check representation of fault-tolerant quantum circuits by Ying Li

“…In fault-tolerant quantum computing, quantum algorithms are implemented through quantum circuits capable of error correction. …”
Get full text

Speedup of Interval Type 2 Fuzzy Logic Systems Based on GPU for Robot Navigation by Long Thanh Ngo, Dzung Dinh Nguyen, Long The Pham, Cuong Manh Luong

“…The T2FLS has a large membership value of inherent algorithmic parallelism that modern CPU architectures do not exploit. …”
Get full text

The intersection of digital health and artificial intelligence: Clearing the cloud of uncertainty by Pooyeh Graili, Bijan Farhoudi

“…In the context of numerical data, machine learning algorithms enable prediction, classification, and clustering. …”
Get full text

Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Specifically, the accuracy of the model algorithm in this work reaches 95.52%, marking a 3.46% improvement over the baseline U-Net network. …”
Get full text

A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…Each layer of the proposed framework incorporates multiple innovative algorithms to shortlist the candidate prediction parameters prior to the RDO process. …”
Get full text

Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics by Muhammad Javed Iqbal, Ibrahima Faye, Brahim Belhaouari Samir, Abas Md Said

“…To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past. The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins. …”
Get full text

Sensitivity Analysis and Identification of Parameters to the Van Genuchten Equation by Guangzhou Chen, Lifeng Jiao, Xinhai Li

“…In addition, the proposed hybrid algorithm outperforms the basic difference search algorithm on the comprehensive performance of algorithm.…”
Get full text

High-Precision Heading Determination Based on the Sun for Mars Rover by Yinhu Zhan, Shaojie Chen, Donghan He

“…A prototype comprising a sun sensor, electronic inclinometer, and chip-scale atomic clock is developed for testing the algorithms, models, and methods presented in this paper. …”
Get full text

Small fishing boat classification and recognition method based on GASF temporal graph coding and EMPViT model by Jiaqi Deng, Xin Liu, Gang Du, Xu Yang, Liangzhong Jiang, Chenglong Sun

“…Abstract Effective classification and identification algorithms of small fishing vessels are the key to strengthen ship management. …”
Get full text

Application of CAD Technology in Extracting Line Feature of Industrial Part Image by Fei Li

“…The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm. …”
Get full text

BESS-Set: A Dataset for Cybersecurity Monitoring in a Battery Energy Storage System by Giovanni Battista Gaggero, Alessandro Armellin, Giulio Ferro, Michela Robba, Paola Girdinio, Mario Marchese

“…In this context, there is a need to develop datasets of attacks on these systems to evaluate the risks and allow researchers to develop proper monitoring algorithms. This paper addresses this need by presenting BESS-Set, an open-source dataset for cybersecurity analysis of a Battery Energy Storage System (BESS).…”
Get full text