Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…IntroductionFriction Stir Welding (FSW) is a critical industrial process in which a rotating tool generates heat through friction, enabling the solid-state joining of materials. …”
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Vibration Optimization of Fiber-Metal Laminated Composite Shallow Shell Panels Using an Adaptive PSO Algorithm by Hadi Ghashochi-Bargh, Mohammad Homayoun Sadr

“…To improve the speed of the optimization process, adaptive inertia weight was used in the particle swarm optimization algorithm to modify the search process. …”
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OppIN: Optimal Path Intervention for Emergency Response Leveraging IoT and Big Data Technologies by Yassine Gacha, Takoua Abdellatif

“…Additionally, OppIN offers superior scalability and performance, using a Big Data-driven system design to handle high data volumes and real-time processing demands effectively. Furthermore, our system uses AI programs to estimate different criteria and to aggregate these criteria for quasi-real-time paths calculation.…”
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The ab-initio aided strain gradient elasticity theory: a new concept for fracture nanomechanics by Tom� Profant, Jaroslav Pokluda

“…When the width of cracked nanocomponents made of brittle or quasi-brittle materials is less than approximately , the size of the - dominance zone becomes smaller than and comparable to the fracture process zone ( ). The fracture process starts to be dominated by far-stress field terms and the critical stress intensity factor can no more represent the total fracture driving force. …”
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Comparative study of evolution of structured flows at boundary of the regime change “diffusion — concentration convection” in isothermal multicomponent mixing in gases by technique... by В.Н. Косов, С.А. Красиков, С.М. Белов, O.В. Федоренко, М. Жанели

“…Flow visualization method allows to fix information about distribution of medium parameters by dynamics of structures in convective flows. Application of computer processing methods, as well as techniques of identifying images of thermophysical fields, allows to obtain quantitative information about convective flows. …”
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Ultrasonic software-hardware complex for tracking public transport passengers by Andrey S. Zuev, Dmitriy V. Faichuk

“…The article overviews existing analogs that are based on using laser detectors, thermal scopes, computer vision technology and floor impact detectors. …”
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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

“…Our approach employs computationally efficient convolution-based filters—uniform and binomial—with varying window sizes to separate these components for specialized processing. …”
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MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring by Abdallah Benhamida, Miklos Kozlovszky

“…Our primary contribution lays on the development and training of two face detection models using TensorFlow Lite: the Single-Shot MultiBox Detector (SSD) and the EfficientDet-Lite0 models that are used based on the computational capabilities of the device in use. By employing one of these models, we can crop the face accurately from the video, which is then processed using EVM to estimate the pulse. …”
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Optimized Deep Learning for Mammography: Augmentation and Tailored Architectures by Syed Ibrar Hussain, Elena Toscano

“…These models were trained on pre-processed datasets with optimized hyperparameters (e.g., the batch size, learning rate, and dropout) which increased the precision of classification. …”
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Malware Detection in Forensic Memory Dumps: The Use of Deep Meta-Learning Models by Yalçın Özkan

“…First, it was subjected to the classification process with a deep learning algorithm, and a predictive model was acquired. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…The model evaluation phase calculates metrics such as prediction error, accuracy, and stability, and also examines the model’s training time, inference time, number of parameters, and computational complexity to assess its efficiency and scalability. …”
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MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…Afterwards, the graph is described utilizing weight matrix, which is applied to the normalization process. Following this, the GSTAR(1;1) modelling process is carried out, beginning with estimating the parameters and then forecasting. …”
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Comparative analysis and evaluation of YOLO generations for banana bunch detection by Preety Baglat, Ahatsham Hayat, Sheikh Shanawaz Mostafa, Fábio Mendonça, Fernando Morgado-Dias

“…Traditionally, experienced harvesters manually inspect fields to determine the optimal harvesting time, a process that is both labor-intensive and increasingly unsustainable due to a shortage of skilled workers. …”
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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

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Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine by Mohammad Hoseintabar Marzebali, Saeed Hasani Borzadaran, Hoda Mashayekhi, Valiollah Mashayekhi

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Nanotechnology and nanosensors in personalized healthcare: A comprehensive review by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Mohamad Reza Babaei, Saeid Ghorbian

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Longitudinal changes in brain asymmetry track lifestyle and disease by Karin Saltoun, B. T. Thomas Yeo, Lynn Paul, Jorn Diedrichsen, Danilo Bzdok

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High-Bit-Depth Geometry Representation and Compression in MPEG Immersive Video System by Yoonseob Lee, Kwan-Jung Oh, Gwangsoon Lee, Byung Tae Oh

“…However, the original high-bit-depth geometry information is quantized to fit the conventional video codec during this process, leading to the loss of detailed sub-bit information. …”
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SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks by Salah Daddinounou, Anteneh Gebregiorgis, Said Hamdioui, Elena-Ioana Vatajelu

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Dense-ShuffleGCANet: An Attention-Driven Deep Learning Approach for Diabetic Foot Ulcer Classification Using Refined Spatio-Dimensional Features by Armaano Ajay, Akshaj Singh Bisht, R. Karthik

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