Premier Dynamic Bandwidth Management and Tensile Wavelength Selection Ensuring QoS for NG-EPONs by Purushottam Singh, Pushpendra Kumar, Harshita Patel, Kanojia Sindhuben Babulal, Gayathri Ananthakrishnan

“…Comparative analysis reveals that TW-DBA outperforms existing algorithms like Flexible Wavelength (FW), First-Fit, and Water Filled, both in computational efficiency and resource allocation. …”
Get full text

A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …”
Get full text

Error Data Analytics on RSS Range-Based Localization by Shuhui Yang, Zimu Yuan, Wei Li

“…The significance of our discovery has two folds: First, we present a general expression for localization error data analytics, which can explain and predict the accuracy of range-based localization algorithms; second, the further study on the general analytics expression and its minimum can be used to optimize current localization algorithms.…”
Get full text

On Damage Identification in Planar Frames of Arbitrary Size by I. Fiore, A. Greco, A. Pluchino

“…Both the proposed identification procedures deal with optimization algorithms that are based on opportune fitness functions. …”
Get full text

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC by Xiaoqin Luo, Chao Li, Gang Qin

“…Using 10 multi-omics consensus clustering algorithms via the MOVICS package, we identified two molecular subtypes (CS1 and CS2) and validated their stability. …”
Get full text

MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images by Heng Zhang, Jiayi Li, Niujia Sun, Hua Li, Qin Hang

“…The study confirms the feasibility of employing LF imaging diagnosis and deep learning algorithms for bubble measurements in an air-water two-phase flow, offering a significant improvement over traditional methods.…”
Get full text

THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL by Ramona Elena Teiu, Tudor Florin Ursuleanu, Hlescu Cristian Stefan, Roxana Grigorovici, Andreea Roxana Luca, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…I will validate this method of diagnosis and prognosis of papillary thyroid cancer, optimized by the artificial intelligence algorithm, by conducting a randomized, controlled clinical trial over a period of 12 months. …”
Get full text

Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

“…Using monthly time series data of HCIR in Iran, we developed various forecasting techniques based on classical smoothing methods, decomposition ETS (error, trend, and seasonality) approaches, autoregressive (AR) integrated moving average (ARIMA), seasonal ARIMA (SARIMA), and a multilayer nonlinear AR artificial neural network (NARANN) with several training algorithms including Bayesian regularization (BR), Levenberg–Marquardt (LM), scaled conjugate gradient (SCG), Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi-Newton, conjugate gradient with Powell–Beale restarts (CGB), conjugate gradient with Fletcher–Reeves updates (CGF), and resilient propagation (RPROP) algorithms. …”
Get full text

Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods by Chenyu Tian, Yifei Lu, Hengduo Xie, Yufan Yu, Liming Lu

“…Three machine learning algorithms were then used to analyze the data: PLS, BP, RF, and the SVM. …”
Get full text

A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…Four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. …”
Get full text

Vision-based manipulation of transparent plastic bags in industrial setups by F. Adetunji, F. Adetunji, A. Karukayil, A. Karukayil, P. Samant, P. Samant, S. Shabana, S. Shabana, F. Varghese, F. Varghese, U. Upadhyay, U. Upadhyay, R. A. Yadav, R. A. Yadav, A. Partridge, E. Pendleton, R. Plant, Y. R. Petillot, Y. R. Petillot, M. Koskinopoulou, M. Koskinopoulou

“…Tracking algorithms and depth-sensing technologies are integrated to enable 3D spatial awareness during pick-and-place operations. …”
Get full text

Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah by Fitra A. Bachtiar, Indra K. Syahputra, Satrio A. Wicaksono

“…However, there are many algorithms that can be used for the prediction. This study compares the performance of algorithms for classifications of students taking courses. …”
Get full text

Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospec... by Noriyuki Kimura, Kotaro Sasaki, Teruaki Masuda, Takuya Ataka, Mariko Matsumoto, Mika Kitamura, Yosuke Nakamura, Etsuro Matsubara

“…., five combinations of variables), each constructed with three classification algorithms, resulting in a total of 15 patterns. L2-regularized logistic regression, and kernel Support Vector Machine (SVM) and Elastic Net algorithms were used to construct the classification models using 34 pre-selected variables (12 demographic characteristics, 11 blood test results, 11 cognitive test results). …”
Get full text

Basic Theoretical Principles Pertaining to Thermal Protection of Oil Transformer by O. G. Shirokov, V. V. Kurganov, D. I. Zalizny

“…Classification of abnormal thermal modes of an oil transformer and also algorithms and methods for operation of diagnostic thermal protection of a transformer have been proposed.…”
Get full text

Strategies of minimization of Sammon's mapping error by Gintautas Dzemyda, Jolita Bernatavičienė, Olga Kurasova, Virginijus Marcinkevičius

“… The classic algorithm for Sammon's projection and two new its modifications are examined in details. …”
Get full text

Real time synthesis of digital automatic control systems for training by Dalia Baziukaitė, Artūras Bielskis

“…Such links are useful optimizing system dynamics in real time, creating leaning programs and applying adaptation algorithms of the automatic control systems. …”
Get full text

TESTING OF CYCLIC STRUCTURAL CHANGES IN SWITCHING REGIME VECTOR AUTOREGRESSIVE MODELS by V. I. Malugin

“…The method is based on a sequential application of two algorithms, realizing the Bayesian “plug-in” decision rule of point wise classification and a statistical test for expected probability of misclassification. …”
Get full text

SIGNAL FILTERING FOR SUDDEN SENSOR FAILURES BASED ON RECURRENT LEAST SQUARES METHOD by V. M. Artemiev, A. O. Naumov, L. L. Kokhan

“…It allows to design simple filtering algorithms with failure detection and to realize filter structure reorganization providing filter functionality.…”
Get full text

Optimization problems for construction foundations by Rimantas Belevičius, Saulius Valentinavičius

“…Solutions of a number of problems demonstrate the validity of proposed algorithms. …”
Get full text

Editorial by Koen Matthijs, Paul Puschmann

“…The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.…”
Get full text