PNet-IDS: A Lightweight and Generalizable Convolutional Neural Network for Intrusion Detection in Internet of Things by Auwal Sani Iliyasu, Abdul Jabbar Siddiqui, Houbing Song, Fahad Jibrin Abdu

“…However, the high computational and storage requirements make these impractical for most IoT devices. …”
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A Comparative Study of Solvers and Preconditioners for an SPE CO₂ Storage Benchmark Reservoir Simulation Model by Cenk Temizel, Gökhan Karcıoğlu, Ali Behzadan, Coşkun Çetin, Yusuf Ziya Pamukçu

“…Key performance metrics, including iteration counts and computational time, were analyzed for the project. The results reveal trade-offs between computational efficiency and solution accuracy, providing valuable insights into the effectiveness of each approach. …”
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AI-driven model for optimized pulse programming of memristive devices by Benjamin Spetzler, Markus Fritscher, Seongae Park, Nayoun Kim, Christian Wenger, Martin Ziegler

“…Three different artificial neural network (ANN) configurations are trained and evaluated regarding the amount of training data required for accurate predictions and the computational costs. …”
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Rate of approximation of blending type modified univariate and bivariate λ-Schurer-Kantorovich operators by Reşat Aslan

“…Next, we construct the bivariate version of proposed operators and compute rate of approximation with the partial and complete modulus of continuity. …”
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Artificial intelligence in pancreatic cancer histopathology and diagnostics - implications for clinical decisions and biomarker discovery? by Petra Weselá, Michal Eid, Petr Moravčík, Jakub Vlažný, Jan Hlavsa, Vladimír Procházka, Zdeněk Kala, Petr Vaňhara

“…Abstract Artificial intelligence (AI) and machine learning (ML) are rapidly advancing fields within computer science, driving significant progress in cancer diagnostics. …”
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Zur Bestimmung von Fließkonstanten in der Dünnschichtchromatographie by M. Schweingruber, Y. Cramer, H. Arm

“… Evaluating the parameters for continuous-flow-TLC-chambers it is necessary to determine the flow-parameters of the mobile phase. …”
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Analysis of the Impact of Electromobility on the Distribution Grid by Tomislav Kovačević, Ružica Kljajić, Hrvoje Glavaš, Milan Kljajin

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An Entropy Optimizing RAS-Equivalent Algorithm for Iterative Matrix Balancing by Chlebus, Edward, Kasapu, Viswatej

“…The presented method has been evaluated using a traffic matrix of the GÉANT pan-European network and randomly generated matrices of various sparsities. …”
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A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability by Qian Deng, Shaohua Li, Cuiping Yang, Ning Ma, Wei He

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An optimized support vector machine for lung cancer classification system by Mayowa O. Oyediran, Olufemi S. Ojo, Ibrahim A. Raji, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba, Oluwasegun Julius Aroba

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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

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A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning by Jing Yang, Haoshen Qin, Yiping Sun, Hao Wang, Abdullah Ayub Khan, Lip Yee Por, Roohallah Alizadehsani, Pawel Plawiak

“…The effectiveness of our model was evaluated using the well-regarded CNN/Daily Mail dataset, achieving ROUGE-1, ROUGE-2, and ROUGE-L scores of 52.45, 26.46, and 44.85, respectively. …”
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Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques by Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta

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Multiple Description Coding Using Data Hiding and Regions of Interest for Broadcasting Applications by M. Verza, N. Conci, G. Boato, F. G. B. De Natale

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Prediction of Urban House Rental Prices in Lagos - Nigeria: A Machine Learning Approach by Sunday Oluyele, Juwon Akingbade, Victor Akinode, Royal Idoghor

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Evolutionary Dendritic Neural Model for Classification Problems by Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

“…It utilizes synapses and dendritic branches to implement the nonlinear computation. Distinct from the classical dendritic neuron model (CDNM) trained by the backpropagation (BP) algorithm, the proposed EDNM is trained by a metaheuristic cuckoo search (CS) algorithm instead, which has been regarded as a global searching algorithm. …”
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Blockchain based solution for secure information sharing in pharma supply chain management by Adla Padma, Mangayarkarasi Ramaiah

“…Performance metrics, including gas consumption, throughput, latency, and computational cost, were examined and compared to standard PSCM frameworks to evaluate the BPSCM's effectiveness.…”
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Improving security and stability of ad hoc on-demand distance vector with fuzzy neural network in vehicular ad hoc network by Jiawei Mo, Baohua Huang, Xiaolu Cheng, Caixia Huang, Feng Wei

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A Novel Behavior-Based Virus Detection Method for Smart Mobile Terminals by Yanbing Liu, Shousheng Jia, Congcong Xing

“…While there are extensive researches on virus detections for smart mobile terminals, most of them share the same framework of virus detection as that for personal computers, and few of them tackle the problem from the standpoint of detection methodology. …”
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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

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