PCIU: Hardware Implementations of an Efficient Packet Classification Algorithm with an Incremental Update Capability by O. Ahmed, S. Areibi, K. Chattha, B. Kelly

“…Results obtained indicate that PCIU outperforms these algorithms in terms of speed, memory usage, incremental update capability, and preprocessing time. …”
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Distinct roles of dentate gyrus and medial entorhinal cortex inputs for phase precession and temporal correlations in the hippocampal CA3 area by Siavash Ahmadi, Takuya Sasaki, Marta Sabariego, Christian Leibold, Stefan Leutgeb, Jill K. Leutgeb

“…Abstract The hippocampal CA3 subregion is a densely connected recurrent circuit that supports memory by generating and storing sequential neuronal activity patterns that reflect recent experience. …”
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Listen, Learn, Like! Dorsolateral Prefrontal Cortex Involved in the Mere Exposure Effect in Music by Anders C. Green, Klaus B. Bærentsen, Hans Stødkilde-Jørgensen, Andreas Roepstorff, Peter Vuust

“…We found neural activations as a function of previous exposure in bilateral dorsolateral prefrontal and inferior parietal cortex, probably reflecting retrieval and working memory-related processes. This was despite the fact that the task during scanning was to judge liking, not recognition, thus suggesting that appreciation of music relies strongly on memory processes. …”
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A Survey of Efficient Lightweight Cryptography for Power-Constrained Microcontrollers by Jesús Soto-Cruz, Erica Ruiz-Ibarra, Javier Vázquez-Castillo, Adolfo Espinoza-Ruiz, Alejandro Castillo-Atoche, Joaquin Mass-Sanchez

“…However, IoT sensing devices are often constrained by limited processing power and memory. Therefore, lightweight and efficient security algorithms are essential. …”
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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…To address this, a novel Bayesian-optimized temporal convolution network (TCN)–long short-term memory (LSTM) network is proposed, combining temporal convolution network (TCN) and long short-term memory (LSTM) to enhance SOC estimation accuracy. …”
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GMTBLC: a deep learning-based bi-modal network traffic classification method by WEI Debin, JIANG Qinlong, WEN Jinglong, WANG Xinrui

“…To address the issues of traditional traffic classification models, such as insufficient feature extraction and low classification accuracy, a dual-modal network traffic classification method based on group mix attention (GMA) with a transformer and a bi-directional long short-term memory (Bi-LSTM) network, named group mix transformer and Bi-LSTM for traffic classification (GMTBLC), was proposed. …”
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Where Environment Meets Cognition: A Focus on Two Developmental Intellectual Disability Disorders by I. De Toma, L. Manubens Gil, S. Ossowski, M. Dierssen

“…One of the most challenging questions in neuroscience is to dissect how learning and memory, the foundational pillars of cognition, are grounded in stable, yet plastic, gene expression states. …”
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Impairments in Brain Perfusion, Metabolites, Functional Connectivity, and Cognition in Severe Asymptomatic Carotid Stenosis Patients: An Integrated MRI Study by Tao Wang, Feng Xiao, Guangyao Wu, Jian Fang, Zhenmeng Sun, Hongliang Feng, Junjian Zhang, Haibo Xu

“…However, recent studies have demonstrated that these asymptomatic carotid artery stenosis (aCAS) patients had cognitive impairment in tests of executive function, psychomotor speed, and memory, indicating that “asymptomatic” carotid stenosis may not be truly asymptomatic. …”
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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…Abstract Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. In-memory computing architectures using memristor devices offer promise but face challenges due to hardware non-idealities. …”
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EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams by Mohamed Jaward Bah, Hongzhi Wang, Li-Hui Zhao, Ji Zhang, Jie Xiao

“…These include to effectively cluster sparse data points which has to do with the quality of clustering methods, dealing with continuous fast-incoming data streams, high memory and time consumption, and lack of high outlier detection accuracy. …”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…Therefore, a cost-effective detection system was proposed using memory dump analysis and ensemble learning techniques. …”
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Tumor detection on bronchoscopic images by unsupervised learning by Qingqing Liu, Haoliang Zheng, Zhiwei Jia, Zhihui Shi

“…To address this issue, a datasets for intratracheal tumor detection has been constructed to simulate the diagnostic level of experienced specialists, and a Knowledge Distillation-based Memory Feature Unsupervised Anomaly Detection (KD-MFAD) model was proposed to learn from this simulated experience. …”
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Revealing the Role of Social Support on Cognitive Deficits in Fibromyalgia Syndrome by Carmen M. Galvez-Sánchez, Gustavo A. Reyes del Paso, Casandra I. Montoro

“…Despite the lower social support observed in FMS, all social support dimensions showed a positive impact on verbal memory, organization and planning abilities, strategic planning, self-regulation, processing speed, attention, and cognitive flexibility in these patients. …”
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IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning by Susanto, Deris Stiawan, Budi Santoso, Alex Onesimus Sidabutar, M. Agus Syamsul Arifin, Mohd Yazid Idris, Rahmat Budiarto

“…This is largely due to the limitations of IoT devices, such as constraints in capacity, power, and memory, necessitating an efficient detection system. …”
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Cognitive profile in mild cognitive impairment with Lewy bodies by Shuai Liu, Chunyan Liu, Xiao-Dan Wang, Huiru Lu, Yong Ji

“…In line with the literature on Dementia with Lewy bodies, our results showed lower performance on tests for visuoconstructive and executive function, whereas memory remained relatively spared in the early period.…”
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Activation of Human Auditory Cortex in Retrieval Experiments: An fMRI Study by Birgit Gaschler-Markefski, Frank Baumgart, Claus Tempelmann, Marty G. Woldorff, Henning Scheich

“…The present study more specifically determined whether memory-guided analysis of tone sequences is part of the T1a specialization. …”
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The Role of Insulin, Insulin Growth Factor, and Insulin-Degrading Enzyme in Brain Aging and Alzheimer's Disease by Claude Messier, Kevin Teutenberg

“…Studies examining the effect of the hyperinsulinic clamp or intranasal insulin on cognitive function have found a small but consistent improvement in memory and changes in brain neuroelectric parameters in evoked brain potentials consistent with improved attention or memory processing. …”
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Loss in Executive Functioning Best Explains Changes in Pain Responsiveness in Patients with Dementia-Related Cognitive Decline by Miriam Kunz, Veit Mylius, Karsten Schepelmann, Stefan Lautenbacher

“…We assessed different cognitive domains (orientation, memory, abstract thinking/executive function, aphasia and apraxia, and information processing speed) in 70 older patients with cognitive impairment (mild cognitive impairment up to moderate degrees of dementia). …”
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Study of Heat Transfer under the Impact of Thermal Radiation, Ramped Velocity, and Ramped Temperature on the MHD Oldroyd-B Fluid Subject to Noninteger Differentiable Operators by Syed Tauseef Saeed, Ilyas Khan, Muhammad Bilal Riaz, Syed Muhammad Husnine

“…Fractional time derivatives are used to analyze the impact of fractional parameters (memory effect) on the dynamics of the fluid. While making a comparison, it is observed that the fractional-order model is the best to explain the memory effect as compared to classical models. …”
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RECORD OF THE BINARY DATA ON SD CARD ARDUINO DUE by V. G. Mikhailov

“…The analysis of methods of record of the binary data on SD card Arduino Due, originating problems with neo-cleaning of memory from the previous program leading to possibility of duplication of the data on SD to a card, presence of the erratic point of view about restriction of volumes of data record and necessity of usage become outdated SD cards is carried out. …”
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