Machine Learning for Promoting Environmental Sustainability in Ports by Meead Mansoursamaei, Mahmoud Moradi, Rosa G. González-Ramírez, Eduardo Lalla-Ruiz

“…The research findings indicate that the articles using polynomial regression models are dominant in the literature, and the recurrent neural network (RNN) and long short-term memory (LSTM) are the most recent approaches. Moreover, in terms of environmental sustainability, emissions and energy consumption are the most studied problems. mAccording to the research gaps observed in the review, two broad directions for future research are identified: (i) altering attention on a greater diversity of machine learning approaches for promoting environmental sustainability in ports and (ii) leveraging new outlooks to perform more green practical works on port-related operations.…”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

“…It utilizes a federal learning framework which employs Convolutional Neural Networks as well as Long-Term Short Memory. The goal of this hybrid methodology is to improve intrusion detection efficacy within the framework of federal learning for IoT while overcoming the drawbacks of current techniques. …”
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BDNF Protein and BDNF mRNA Expression of the Medial Prefrontal Cortex, Amygdala, and Hippocampus during Situational Reminder in the PTSD Animal Model by Shao-Han Chang, Ying Hao Yu, Alan He, Chen Yin Ou, Bai Chuang Shyu, Andrew Chih Wei Huang

“…Whether BDNF protein and BDNF mRNA expression of the medial prefrontal cortex (mPFC; cingulated cortex area 1 (Cg1), prelimbic cortex (PrL), and infralimbic cortex (IL)), amygdala, and hippocampus (CA1, CA2, CA3, and dentate gyrus (DG)) was involved in fear of posttraumatic stress disorder (PTSD) during the situational reminder of traumatic memory remains uncertain. Footshock rats experienced an inescapable footshock (3 mA, 10 s), and later we have measured fear behavior for 2 min in the footshock environment on the situational reminder phase. …”
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A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI by M Nisha, T Kannan, K Sivasankari

“…It is a crucial component of the limbic system, which is responsible for regulating emotions, memory, and spatial navigation. This research focuses on automatic hippocampus segmentation from Magnetic Resonance (MR) images of a human head with high accuracy and fewer false positive and false negative rates. …”
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Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise by Aref Smiley, Joseph Finkelstein

“…In addition, Long Short-Term Memory (LSTM) networks were trained on the top features selected by the MRMR and Univariate Feature Ranking algorithms to enhance model performance. …”
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The Efficiency of Chitosan Against Tert Butylhydroquinone (TBHQ)-Induced Neurobehavioral Changes and Toxicity Effects in Male Rats by Shahad Alahmadi, Mohammed Mufadhe Alanazi, Fawaz Alasmari, Wedad Saeed Al-Qahtani, Gadah Albasher

“…Behavioral tests, including the Morris Water Maze (MWM) as well as Passive Avoidance Learning (PAL) tasks, confirmed memory and learning deficits in the TBHQ group. Histopathological analysis showed damage in the brain, liver, and kidney tissues of TBHQ-exposed rats. …”
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Study of the Windowing and Overlap-Add Operation for a Super-Gaussian Random Vibration Test by Yiming Peng, Yang Li

“…A window function is recommended for zero-memory nonlinear (ZMNL) transformation to move the positions of the high-excursion peaks of a super-Gaussian signal, providing a novel way of adjusting kurtosis when WOA method is applied. …”
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Dissection of the long-range circuit of the mouse intermediate retrosplenial cortex by Yuxiao Li, Miao Ren, Bimin Liu, Tao Jiang, Xueyan Jia, Haili Zhang, Hui Gong, Xiaojun Wang

“…Abstract The retrosplenial cortex (RSP) is a complex brain region with multiple interconnected subregions that plays crucial roles in various cognitive functions, including memory, spatial navigation, and emotion. Understanding the afferent and efferent connectivity of the RSP is essential for comprehending the underlying mechanisms of its functions. …”
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Socially Dangerous Behavior as the Mandatory Feature of the Objective Aspect of Crime Under the Article 330 of the Criminal Code of Ukraine by V. Yu. Boichuk

“…The author believes that the collection of data for the purpose of transferring to foreign enterprises, institutions, organizations or their representatives that constitutes official information collected in the process of operative and search, counterintelligence activities, in the field of defense of the country, should be considered as a process, which depending on the situation, may include: detection of information (its carriers), its recording (in memory or by technical means: photo, video, audio recording, copying of documents, electronic documents on USB, HDD, CD drives, etc.); removal of recorded information in the form of a copy or the original carrier from the location; placing the retrieved information in a specific place for storage and further transfer. …”
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MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization by Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panagiotis Pintelas

“…The results demonstrate that MobileNet-HeX not only surpasses these models in performance but also excels in speed and memory efficiency. By effectively leveraging a diverse set of MobileNet eXperts, we experimentally show that small, yet highly optimized, models can outperform even the most powerful vision networks in both accuracy and computational efficiency.…”
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A New Video-Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework by Zhenbo Lu, Wei Zhou, Shixiang Zhang, Chen Wang

“…., a crash appearance feature extractor), which were further fed to a spatiotemporal feature fusion model, Conv-LSTM (Convolutional Long Short-Term Memory), to simultaneously capture appearance (static) and motion (dynamic) crash features. …”
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具有耗能时序的变摩擦自复位阻尼器滞回性能研究 by 刘艳芝, 刘思佳, 张萍, 柯珂

“…综合形状记忆合金（shape memory alloy，SMA）材料和摩擦机制的优点，提出了一种具有耗能时序的变摩擦自复位阻尼器（self-centering variable friction damper with energy-dissipation sequences，SVFDES）。…”
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Binary decision diagram‐based synthesis technique for improved mapping of Boolean functions inside memristive crossbar‐slices by Anindita Chakraborty, Vivek Maurya, Sneha Prasad, Suryansh Gupta, Rajat Subhra Chakraborty, Hafizur Rahaman

“…Abstract Memristors are two‐terminal nano‐electronic devices that make it possible to design non‐volatile memory and logic circuits with high integration density. …”
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Le bassin minier du Nord-Pas-De-Calais pris dans les rets de l’aménagisme généralisé by Patrick Céleste

“…It shows how the very notion of “repairing” can be understood in different ways: as conserving a heritage, both by preserving its memory, its continuity and its new customs; as well as a necessary response to the deep trauma that mining inflicted upon a rural and natural territory, and that the cessation of mining activity inflicted upon those who were dedicated to it. …”
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The Short‐Time Prediction of Thermospheric Mass Density Based on Ensemble‐Transfer Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jing‐Song Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

“…In this paper, three machine‐learning prediction algorithms are investigated, including the Bidirectional Long Short‐Term Memory, the Transformer, and the Light Gradient Boosting Machine (LightGBM) ensemble model of the above models. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…Furthermore, the C2f module is replaced by the FPW to reduce the pointless computation and memory utilization of the model. At the target tracking stage, the so-called NGCTrack in our algorithm replaces IOU with GIOU and employs a modified NSA Kalman filter to adjust the state-space aspect ratio for width prediction. …”
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Forecasting Global Ionospheric TEC Using Deep Learning Approach by Lei Liu, Shasha Zou, Yibin Yao, Zihan Wang

“…In this study, the long short‐term memory (LSTM) neural network (NN) is applied to forecast the 256 spherical harmonic (SH) coefficients that are traditionally used to construct global ionospheric maps (GIM). …”
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Antipredator behaviour in semi-feral horses: innate response and the influence of external factors by Antoine Bercy, Francisco Ceacero, Martina Komárková

“…The significant behavioural differences in reaction to the sounds indicate that the horses can differentiate them and likely still possess some innate memory, as reported in other ungulates. This is a positive sign towards reintroduction. …”
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Newly Generated Cells in the Dentate Gyrus Differentially Respond to Brief Spatial Exploration and Forced Swim in Adult Female Balb/C Mice by Gerardo Bernabé Ramírez-Rodríguez, María del Ángel Ocaña-Fernández, Leonardo Ortiz-López

“…In addition to their involvement in learning and memory processes, newborn neurons of the dentate gyrus (DG) buffer against the effects of stress. …”
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Comparative effects of dual-task training versus combined exercise training in water and on land on patients with multiple sclerosis: a study protocol of a randomised factorial tri... by Sahar Nazary Soltan Ahmad, Seyed Sadredin Shojaedin, Mehdi Khaleghi Tazji

“…The secondary outcomes involve the California Verbal Learning Test-II, the Brief Visuospatial Memory Test—Revised, kinetics and kinematics throughout the balance and gait cycle. …”
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