Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers by Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, Metin Sarıgöl, Muhammad Jehanzaib, Enes Gül

“…In this study, advanced soft computing techniques, including long short-term memory (LSTM), convolutional neural network–recurrent neural network (CNN-RNN), and group method of data handling (GMDH) algorithms, were employed to forecast monthly streamflow time series at two different stations in the Wadi Mina basin. …”
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Earthworm optimization algorithm based cascade LSTM-GRU model for android malware detection by Brij B. Gupta, Akshat Gaurav, Varsha Arya, Shavi Bansal, Razaz Waheeb Attar, Ahmed Alhomoud, Konstantinos Psannis

“…Inspired by a cascade of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, optimized using the Earthworm Optimization Algorithm (EOA), this study presents an android malware detection model. …”
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Human activity recognition: an approach 2D CNN-LSTM to sequential image representation and processing of inertial sensor data by Wallace Camacho Carlos, Alessandro Copetti, Luciano Bertini, Leonard Barreto Moreira, Otávio de Souza Martins Gomes

“…By utilizing the recent history of movements as input for the models, this study evaluated the impact of this methodology on HAR using two adapted architectures: 2D convolutional neural networks combined with long short-term memory layers (2D CNN-LSTM) and standalone 2D convolutional neural networks (2D CNN). …”
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MMP-9 Contributes to Dendritic Spine Remodeling Following Traumatic Brain Injury by Barbara Pijet, Marzena Stefaniuk, Leszek Kaczmarek

“…Apart from physical trauma, it causes a wide range of cognitive, behavioral, and emotional deficits including impairments in learning and memory. On neuronal level, TBI may lead to circuitry remodeling and in effect imbalance between excitatory and inhibitory neurotransmissions. …”
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A Deep Learning-Based Approach to Enable Action Recognition for Construction Equipment by Jinyue Zhang, Lijun Zi, Yuexian Hou, Mingen Wang, Wenting Jiang, Da Deng

“…The contributions of this research are as follows: (1) the development of a comprehensive video dataset of 2,064 clips with five action types for excavators and dump trucks; (2) a new deep learning-based CEAR approach (known as a simplified temporal convolutional network or STCN) that combines a convolutional neural network (CNN) with long short-term memory (LSTM, an artificial recurrent neural network), where CNN is used to extract image features and LSTM is used to extract temporal features from video frame sequences; and (3) the comparison between this proposed new approach and a similar CEAR method and two of the best-performing HAR approaches, namely, three-dimensional (3D) convolutional networks (ConvNets) and two-stream ConvNets, to evaluate the performance of STCN and investigate the possibility of directly transferring HAR approaches to the field of CEAR.…”
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Loewenstein Occupational Therapy Cognitive Assessment to Evaluate People with Addictions by Gloria Rojo-Mota, Eduardo J. Pedrero-Pérez, José M. Ruiz-Sánchez de León, Irene León-Frade, Patricia Aldea-Poyo, Marina Alonso-Rodríguez, Jara Pedrero-Aguilar, Sara Morales-Alonso

“…There is barely any convergence in measures with memory and executive function tests. Relevance to Clinical Practice. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…We propose and discuss some non-trivial software design choices and implementation strategies that are needed to match the specific computational and memory access needs of MOT strategies, and the architectural opportunities of NVIDIA embedded GPGPU systems. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. The proposed BILSTM classifier captures the temporal features and their long term dependencies from the processed PF data samples and detects single and simultaneously occurring twenty complex power quality disturbances in the grid connected mode and five PQDs during uncertain PV insolence variation and load and capacitor switching during islanded mode of microgrid operation with significant accuracy of 99.90%.…”
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Inverse Modeling of Nonlinear Artificial Muscle Using Polynomial Parameterization and Particle Swarm Optimization by Mohd Azuwan Mat Dzahir, Shin-ichiroh Yamamoto

“…Apart from this, it also inherits frictional presliding behavior with nonlocal memory effect. These nonlinearities need to be compensated to achieve optimal performance of the control system. …”
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Remimazolam Anesthesia for Thyroid Surgery by Sae Nakagawa, Tomoharu Shakuo, Sakurako Matsudo, Hiroaki Soda, Kenji Shida

“…In addition, the patient had no memory of the reoperation, suggesting that the anterograde amnesic effect of remimazolam had a favorable psychological outcome associated with the reoperation. …”
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Disentangling spring–neap suspended particulate matter (SPM) dynamics in estuaries by Y. M. Dijkstra, D. D. Bouwman, H. M. Schuttelaars

“…This bottom pool only adapts gradually to the changing transport conditions, incorporating a lag or memory effect. Using a two-timescale analysis it is shown that this slow movement of the bottom pool is the leading source of such lag effects. …”
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Optimization study of low-NOx combustion in boiler based on pulverized coal preheating solution by Lingfang Sun, Mengchao Xu, Yu Jia, Bingxue Zong, Guoliang Feng

“…Secondly, the deep belief neural network (DBN) and long short-term memory network (LSTM) were used to establish the combustion model of pulverized coal boiler based on the ignition temperature, outlet temperature, powder feeding frequency and other parameters, as well as the coupling relationship between NOx and CO emissions. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics by Lei Jiang, Zhihong Yang, Lei Gang

“…The framework integrates multi-player tracking and action recognition systems, leveraging YOLOv7 for player detection and a memory transformer to maintain spatiotemporal information for accurate tracking. …”
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Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier by Ranjana Agrawal, Sucheta Kulkarni, Madan Deshpande, Anita Gaikwad, Rahee Walambe, Ketan V. Kotecha

“…This is accomplished by using multiple CNNs (Convolutional Neural Networks) to extract features and LSTM (Long Short-Term Memory) classifier to classify images. • Cropped STAGE dataset and HVDROPDB-PLUS dataset are constructed with RetCam and Neo images. • The proposed networks outperform individual CNNs and CNN_LSTM networks in terms of accuracy and F1 score.…”
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A COMPARATIVE STUDY OF DEEP LEARNING METHODS APPLIED FOR WASTEWATER pH NEUTRALIZATION PROCESS MODELLING by Mădălina Cărbureanu

“…The analysed DL methods are Feedforward Neural Networks (FNNs), Temporal Convolutional Networks (TCNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), General Regression Neural Networks (GRNNs), Time Delay Neural Networks (TDNNs) and Deep Belief Networks (DBNs), being implemented using Python 3.9 software and Tensorflow. …”
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Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

“…In comparison to a leading surrogate-gradient-based SNN training method, our GeNN Eventprop implementation is 3× faster and uses 4× less memory. This work is a significant step towards a low-power neuromorphic alternative to current machine learning paradigms.…”
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A Novel In Situ Dendritic Cell Vaccine Triggered by Rose Bengal Enhances Adaptive Antitumour Immunity by Lanlin Zhang, Jiangyuan Du, Qian Song, Chufan Zhang, Xianghua Wu

“…These effects were closely related to the induction of the expression of distinct ICD hallmarks by RB in both bulk cancer cells and cancer stem cells (CSCs), especially calreticulin (CRT), thus enhancing immune effector cell (i.e., CD4+, CD8+, and memory T cells) infiltration and attenuating the accumulation of immunosuppressive cells (i.e., Tregs, macrophages, and myeloid-derived suppressor cells (MDSCs)) in the TME. …”
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The putative role of immune-inflammatory mechanisms in nociplastic pain pathways: a narrative review by Mariateresa Giglio, Alberto Corriero, Angela Preziosa, Giustino Varrassi, Filomena Puntillo

“…This type of pain is usually multifocal, more diffuse or intense than expected and it is usually associated with other central nervous system-derived symptoms, such as fatigue, sleep, memory, and mood problems. It can occur in isolation or as part of a mixed-pain state in combination with ongoing nociceptive or neuropathic pain. …”
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Diseño de Red Neuronal Artificial para la Predicción de la Demanda Eléctrica by Ernesto Carlos Casals Cunill, Salvador López Hierrezuelo, Delmar Jaime García, Raciel David Lago Solano

“…Para ello, se implementó un modelo de red neuronal tipo Long Short-TermMemory que empleó datos históricos de consumo eléctrico. …”
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Advancements in mathematical modeling and numerical simulation: Immersed boundary method for Navier-Stokes equations applied to stationary and rotating isothermal cylinders by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales

“…To achieve this, a low computational cost C/C++ code (in terms of memory and computational resources) was developed. …”
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