The Construction of a Stream Service Application with DeepStream and Simple Realtime Server Using Containerization for Edge Computing by Wen-Chung Shih, Zheng-Yao Wang, Endah Kristiani, Yi-Jun Hsieh, Yuan-Hsin Sung, Chia-Hsin Li, Chao-Tung Yang

“…Performance tests reveal that CPU usage for WebRTC can exceed 40%, which is higher than that of HLS and RTMP, while memory usage remains relatively stable across different streaming protocols. …”
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A Tractor Work Position Prediction Method Based on CNN-BiLSTM Under GNSS Signal Denial by Yangming Hu, Liyou Xu, Xianghai Yan, Ningjie Chang, Qigang Wan, Yiwei Wu

“…To address this, a model-assisted integrated navigation system is proposed, combining Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) networks. The CNN-BiLSTM model is trained under normal GNSS conditions and used to predict positioning when GNSS signals are interrupted, effectively replacing GNSS to ensure stable and accurate navigation. …”
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A ketogenic diet regulates microglial activation to treat drug addiction by Jie Ji, Yi Tang

“…Previous studies have suggested that microglia are involved in events associated with neuroplasticity and memory, which are also related to drug addiction. …”
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Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection by Sofia Biju Francis, Sofia Biju Francis, Jai Prakash Verma

“…Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.MethodsA ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters. …”
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Changes in Tolaki People Burial in Southeast Sulawesi: From Boat-Shaped Grave Coffin (Soronga) to Boat-Shaped Islamic Tomb (Koburu Bangga) by Syahrun Syahrun, Basrin Melamba

“…It is also affected by maritime world at the past as well as technology that lived in the past used by a collective memory.…”
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Angular Dependence of Spin Transfer Switching in Spin Valve Nanopillar Based Heusler Alloy by Pirat Khunkitti, Anan Kruesubthaworn, Arkom Kaewrawang, Tim Mewes, Claudia K. A. Mewes, Apirat Siritaratiwat

“…Hence, the spin transfer induced noise needs to be minimized in order to improve the performance of spin transfer torque random access memory for high density recording.…”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…Immune cell subtypes of tissue specimens found T cell CD8, mast cell resting, T cell CD4 memory resting, T cell regulation (Tregs), monocytes, macrophages M2, T cell CD4 naive, macrophages M0, and neutrophils are associated with HF. …”
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Effects of ketamine and propofol on muscarinic plateau potentials in rat neocortical pyramidal cells. by Anne S Fleiner, Daniel Kolnier, Nicholas Hagger-Vaughan, Johan Ræder, Johan F Storm

“…According to leading theories of access consciousness and working memory, L2/3PCs are particularly important for these cognitive functions. …”
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An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM + GA-PID controller with augmented lagrangian methods by Ritesh Dash, Kalvakurthi Jyotheeswara Reddy, Bhabasis Mohapatra, Mohit Bajaj, Ievgen Zaitsev

“…Abstract This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network combined with a Genetic Algorithm-optimized PID (GA-PID) controller. …”
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Long-term sublingual bacterial immunotherapy prevents ear, nose and throat infections: A real-life study by Paula F Aarestrup, Matheus F Aarestrup, Beatriz JV Aarestrup, Edir P Cheloni, Fernando M Aarestrup

“…Recent findings suggest that immunity can be trained by inducing an immunological memory in both the innate and acquired immune response. …”
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Impact of image size reducing for image quality assesment by Yu. I. Golub, F. V. Starovoitov, V. V. Starovoitov

“…When images are reduced by 8 times, the calculation time decreases on average by 80 times. The amount of memory required to store the reduced images is 25 times less.…”
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Identifying RBBP7 as a Promising Diagnostic Biomarker for BK Virus-Associated Nephropathy by Yicun Wang, Yuxuan Wang, Di Zhang, Hao Zhang, Wei Wang, Xiaopeng Hu

“…In this research, upregulation of RBBP7 was found to be associated with the higher infiltration of CD8 naïve T, iTreg, and neutrophil cells and the lower amounts of Th1, central memory T, NKT, CD8 T, and dendritic cells. Moreover, the infiltration of Th1, Th17, and NKT cells was steadily different between BKVN and rejection allografts through immune cell assessment. …”
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A Regional Ionospheric Storm Forecasting Method Using a Deep Learning Algorithm: LSTM by Panpan Ban, Lixin Guo, Zhenwei Zhao, Shuji Sun, Tong Xu, Zhengwen Xu, Fengjuan Sun

“…Abstract An ionospheric storm forecasting method was proposed using a deep learning algorithm, LSTM (long short‐term memory). We used the perturbation index to denote the level of an ionospheric storm, deduced from foF2 data, and helped to remove most of the local time and seasonal variations in the ionosphere. …”
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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

“…A suite of machine learning regression models including Adaptive Boosting (AdaBoost) Regressor, Random Forest (RF) Regressor, Linear Regressor (LR), and Classification and Regression Tree (CART) Regressor, was employed alongside a deep neural network (DNN) architecture optimized using various algorithms such as Adaptive Moment Estimation (Adam), Root Mean Square Propagation (RMS Prop), Stochastic Gradient Descent (SGD), and Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS). …”
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Validation of an Individualized Measure of Quality of Life, Patient Generated Index, for Use with People with Parkinson’s Disease by Ayse Kuspinar, Kedar K. V. Mate, Anne-Louise Lafontaine, Nancy Mayo

“…Within one severity rating, agreement between the PGI and different standard outcome measures ranged from 85 to 100% for walking, 69 to 100% for fatigue, 38 to 75% for depression, and 20 to 80% for memory/concentration. Conclusion. This study demonstrates that nominated areas of QOL on the PGI provide comparable results to standard PRO measures, and provides evidence in support of the validity of this individualized measure in PD.…”
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ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures by Haoxuan Liu, Vasu Singh, Michal Filipiuk, Siva Kumar Sastry Hari

“…Results show that our approach achieves over 99&#x0025; coverage for errors (single bit-flip fault model) that result in a mismatch with <inline-formula><tex-math notation="LaTeX">$&lt; $</tex-math></inline-formula>0.2&#x0025; and <inline-formula><tex-math notation="LaTeX">$&lt; $</tex-math></inline-formula>0.01&#x0025; computation and memory overheads, respectively. Lastly, we present the applicability of our framework in various modern GPU architectures under different numerical precisions. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Addressing the challenges of limited accuracy in anomaly detection within comprehensive environmental monitoring of industrial and mining enterprises, and the constraints posed by singular data modalities, this study proposes an integration of a multimodal Long Short-Term Memory (LSTM) model with the Contrastive Language-Image Pretraining (CLIP) model. …”
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Vaccines for cancer interception in familial adenomatous polyposis by David E. Johnson, Mary L. Disis

“…Appropriately primed antigen specific T-cells can traffic to any site in the body where antigen is expressed, recognize, and eliminate the antigen expressing cell. Immunologic memory will allow the immune response to persist and the specificity of the immune response will limit toxicity to the targeted polyp. …”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…By carefully selecting only the most important data features and decentralizing the model training to devices, we reduce both time and memory usage. This makes the system much faster and lighter on resources, making it perfect for real-time IoV applications. …”
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Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

“…It also introduces pipeline and dual cache structures to optimize memory access, and analyzes the limited resources through the Roofline model. …”
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