BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification by Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, André C.P.L.F. de Carvalho

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Data analysis of entropy generation in quadratic radiative with chemically reactive Williamson fluid flow past an inclined porous sheet by Md. Yousuf Ali, Mizanur Rahman, Md. Shakib Hossain, Mst. Sharmin Akter, Noor Muhammad, Atia Sanjida Talukder

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Rheography: Harmonic perspectives by S. V. Revenko

“…The development of electronics and computed methods of data processing could unveil the potential of this direction of rheography and consider prospects for developing new diagnostic approaches on the basis of a multicyclic harmonic analysis of bioimpedance.…”
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Bioinformatic prediction, annotation and experimental validation of conserved microRNAs in Lactuca sativa Linn by Shehnaz Shair Qambrani, Muhammad Naeem Shahwani, Iftekhar Ahmed Baloch, Shahjahan Shabir Ahmed Rana, Asma Abro

“…Additionally, the study delved into the protein targets of the identified miRNAs, resulting in the identification of 74 protein targets associated with 97 Gene Ontology (GO) terms and significant biological processes. The computational analysis of targets also shed light on their potential roles in post-transcriptional regulation. …”
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Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images by Sama Nemati, Hasti Shabani, Ahmad Mahmoudi-Aznaveh

“…While deep learning-based methods have suggested new possibilities, they often struggle with generalizing to unseen images and require substantial computational resources. The most common approach for training deep neural networks in this field relies on patch-based processing, which may overlook the global illumination distribution, leading to inconsistencies in correction. …”
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Temporal Segment Method in Sign Word Recognition Using a Pretrained CNN-LSTM Network by Seungju Lee, Irina Polyakova

“…However, gesture classification from video data typically demands substantial computational resources due to the large number of frames that need processing, significantly increasing training time and memory consumption. …”
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YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences by Nada Alzahrani, Ouiem Bchir, Mohamed Maher Ben Ismail

“…The model depicts essential temporal dynamics without the computational overhead of continuous frame processing by leveraging the adaptive selection of three keyframes representing the beginning, middle, and end of the actions. …”
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Situation Analytics and Model-based User Interface Development: A Synergetic Approach for Building Runtime-Adaptive Business Applications by Christian Märtin, Felix Kampfer, Christian Herdin, Lionnelle Biawan Yameni

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Region Segmentation of Images Based on a Raster-Scan Paradigm by Luka Lukač, Andrej Nerat, Damjan Strnad, Štefan Horvat, Borut Žalik

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Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure by Yixiong Lin, Zhengqi Wu, Shiqi You, Chen Yang, Qinglian Wang, Wang Yin, Ting Qiu

“…Constrained by the substantial computational time required for numerical simulation, a deep learning technique is applied to investigate fluid flow and heat transfer processes in metal foam with a hierarchical pore structure. …”
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An MCMC Approach to Bayesian Image Analysis in Fourier Space by Konstantinos Bakas, John Kornak, Hernando Ombao

“…One advantage of Fourier-based methods is that a large set of spatially correlated processes in image space can be represented via independent processes over Fourier space. …”
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Neurocomputational Mechanisms of Sense of Agency: Literature Review for Integrating Predictive Coding and Adaptive Control in Human–Machine Interfaces by Anirban Dutta

“…Disruptions in these inference processes underlie symptoms in disorders such as functional movement disorder. …”
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Development and Application of a Dual-Robot Fabrication System in Figuring of a 2.4 m × 4.58 m CFRP Antenna Reflector Surface by Qiang Xin, Haitao Liu, Jieli Wu, Liming Lu, Xufeng Hao, Zhige Zeng, Yongjian Wan

“…To further improve the figuring accuracy of the system, the support structure and figuring path were investigated and determined. Finally, processing experiments were conducted, and the material removal function for the flexible processing tool was computed to shape the reflector surface. …”
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Analiza likova hrvatske književnosti pomoću računalnih alata by Lorena Ninčević

“…Basic terms from the fields of natural language processing and narratology are explained, since they are the theoretical and practical basis of the research. …”
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Protection of HEVC Video Delivery in Vehicular Networks with RaptorQ Codes by Pablo Piñol, Miguel Martínez-Rach, Otoniel López, Manuel Pérez Malumbres

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Smart Agile Prioritization and Clustering: An AI-Driven Approach for Requirements Prioritization by Aya M. Radwan, Manal A. Abdel-Fattah, Wael Mohamed

“…The proposed model extracts and processes textual requirements, constructs a dependency graph to model interrelations, and applies PageRank to compute requirement importance. …”
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Audio-in-Image Steganography Using Analysis and Resynthesis Sound Spectrograph by A. Aravind Krishnan, Yukta Ramesh, Udbhav Urs, Megha Arakeri

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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

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An NLP-Based Framework to Spot Extremist Networks in Social Media by Andrés Zapata Rozo, Daniel Díaz-López, Javier Pastor-Galindo, Félix Gómez Mármol, Umit Karabiyik

“…Knowledge graphs achieved in our use case allow us to identify how nodes that promote HSM are interconnected and work collaboratively. Finally, the computational costs of our proposal are quite favorable as memory consumption of similarity and polarity models is proportional to the number of processed tweets, confirming the feasibility of the solution in a real context.…”
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Machine learning based intrusion detection framework for detecting security attacks in internet of things by V. Kantharaju, H. Suresh, M. Niranjanamurthy, Syed Immamul Ansarullah, Farhan Amin, Amerah Alabrah

“…Then, the data are fed to pre-processing. In pre-processing, it restored the missing value using Local least squares. …”
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