Adaptive Energy Management for MATTER-Enabled Smart Homes by Navodit Bhardwaj, Pallavi Joshi

“…For anomaly detection, a hybrid multi-stage approach incorporating Long Short-Term Memory (LSTM) networks, One-Class SVMs (OCSVM), and autoencoders delivers a precision of 0.97 and recall of 0.95 in identifying abnormal consumption patterns and potential cybersecurity threats. …”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…IntroductionThe integration of artificial intelligence (AI) with health data analysis offers unprecedented opportunities to advance research in neuroscience and psychology, particularly in extracting meaningful patterns from complex, heterogeneous, and high-dimensional datasets. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization by Zhuorui Liu, Yan Li, Xiaoyang Zeng

“…Emerging applications like deep neural networks require high off-chip memory bandwidth and low dynamic loaded Double Data Rate SDRAM (DDR) latency. …”
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Neuromodulation Interventions for Language Deficits in Alzheimer’s Disease: Update on Current Practice and Future Developments by Fei Chen, Yuyan Nie, Chen Kuang

“…Key indicators such as publication trends, citation patterns, collaboration networks, and research themes were examined to map the intellectual landscape of this field. …”
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A bibliometric analysis of six decades of camel research in North Africa: Trends, collaboration, and emerging themes by Razan Naji, Mahmoud Kandeel, Maryam Mahmoud

“…Bibliometrix and VOSviewer were used to visualize co-authorship networks, citation patterns, and keyword trends. Results: The research output has increased dramatically since the mid-2000s, with a peak in publications between 2018 and 2020. …”
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Biomarker profile and disease burden associated with intermittent and long-term oral corticosteroid use in patients with severe asthma prior to biologic initiation in real-life (ST... by Florence Schleich, MD, PhD, Désirée Larenas-Linnemann, MD, FAAAAI, Dist.Intl.FACAAI, Alan Altraja, MD, PhD, Luis Pérez de Llano, MD, PhD, Konstantinos Kostikas, MD, PhD, FERS, Mohsen Sadatsafavi, MD, PhD, Arnaud Bourdin, MD, PhD, Roy Alton Pleasants, PharmD, Mark Hew, MBBS, PhD, FRACP, Wenjia Chen, PhD, Libardo Jiménez-Maldonado, MD, Simon Couillard, MD, MSc, Charlotte Suppli Ulrik, MD, DMSc, Adeeb A. Bulkhi, MD, MS, Ming-Ju Tsai, MD, PhD, George C. Christoff, MD, MPH, PhD, Nikolaos G. Papadopoulos, MD, PhD, FRCP, Paul E. Pfeffer, MRCP(UK), PhD, Dermot Ryan, MD, FRCGP, Celine Bergeron, MD, FRCPC, MSc, Mona S. Al-Ahmad, MD, FRCPC, Delbert R. Dorscheid, MD, PhD, Eileen Wang, MD, MPH, John D. Blakey, PhD, Belinda Cochrane, MBBS (Hons), MD, Matthew J. Peters, MD, PhD, Todor A. Popov, MD, PhD, Carlos A. Torres-Duque, MD, Susanne Hansen, PhD, Francesca Puggioni, MD, Kirsty Fletton, MBChB, Laila Salameh, PhD, Peter G. Middleton, MBBS, BSc(Med), PhD, FRACP, FERS, Paulo Márcio Pitrez, MD, PhD, Chin Kook Rhee, MD, PhD, Eve Denton, MBBS(Hons), MPH, PhD, FRACP, Kenneth R. Chapman, MSc, MD, FRCPC, FACP, FERS, Lauri Lehtimäki, MD, PhD, Ruth B. Murray, PhD, Chau-Chyun Sheu, MD, PhD, David J. Jackson, FRCP, PhD, Riyad Al-Lehebi, MD, FRCPC, Mariko Siyue Koh, MBBS, MRCP (UK), FCCP, Bassam Mahboub, MD, Ledit R.F. Ardusso, MD, Athena Gogali, MD, PhD, Giorgio Walter Canonica, MD, Piotr Kuna, MD, PhD, Martin Sivori, MD, PhD, Renaud Louis, MD, PhD, Shelley Abercromby, BSc(Hons), Giuseppe Guida, MD, PhD, Bernt Bøgvald Aarli, MD, PhD, Aaron Beastall, MSc, Victoria Carter, BSc, Ghislaine Scelo, PhD, John Townend, PhD, Borja G. Cosio, MD, PhD, Pujan H. Patel, MD, Celine Yun Yi Goh, MBBS, Zsuzsanna Csoma, MD, PhD, John W. Upham, MBBS, PhD, FRACP, João A. Fonseca, MD, PhD, Peter G. Gibson, MBBS, FRACP, Christine Jenkins, AM, MD, FRACP, Guy G. Brusselle, MD, PhD, Anne Chèvremont, Andréanne Côté, MD, MSc, FRCPC, Carlos Andrés Celis-Preciado, MD, MSc, Ivan Solarte, MD, MHPE, Celeste M. Porsbjerg, MD, PhD, Asger Sverrild, MD, PhD, Paula Kauppi, MD, PhD, Stelios Loukides, MD, FERS, Michael P. Makris, MD, PhD, Andriana I. Papaioannou, MD, PhD, Enrico Heffler, MD, PhD, Jeffrey Shi Kai Chan, MBChB, MPH, FESC, Hyonsoo Joo, MD, PhD, Liam G. Heaney, MD, Wei-Han Cheng, PhD, Njira Lugogo, MD, Michael E. Wechsler, MD, MMSc, Cláudia Chaves Loureiro, MD, PhD, Bellanid Rodríguez-Cáceres, BSc, Tatsuya Nagano, MD, PhD, Zhixiao Wang, PhD, Hao-Chien Wang, MD, PhD, Jorge Máspero, MD, Fernando Saldarini, MD, Ana María Stok, MD, Anahi Yañez, MD, Philip G. Bardin, PhD, Sinthia Z. Bosnic-Anticevich, PhD, Vidya Navaratnam, BMBS, MSc, PhD, Mohit Bhutani, MD, FRCPC, FCCP, M. Diane Lougheed, MSc, MD, FRCP(C), Lyle Melenka, MD, FRCP, B.MSc, Petros Bakakos, MD, Konstantinos P. Exarchos, MD, PhD, Aggelos A. Ladias, MD, Dóra Lúdvíksdóttir, MD, PhD, Takashi Iwanaga, MD, PhD, Elvia Angelica Contreras Contreras, MD, Sverre Lehmann, MD, PhD, José Alberto Ferreira, MD, Rebecca Gall, MD, Pin-Kuei Fu, MD, PhD, Diahn-Warng Perng, MD, PhD, Flavia Hoyte, MD, Rohit Katial, MD, Unnur S. Björnsdóttir, MD, Camille Taillé, MD, PhD, Christian Taube, MD, Breda Cushen, MD, PhD, Lakmini Bulathsinhala, MPH, Leif Bjermer, MD, PhD, David B. Price, FRCGP

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Enhanced recovery pathway for older people with hip fracture and cognitive impairment in acute hospitals: the PERFECTED research programme including an RCT by Chris Fox, Simon P Hammond, Lee Shepstone, Fiona Poland, Catherine Henderson, Tamara Backhouse, Bridget Penhale, Simon Donell, Martin Knapp, Douglas Lewins, Alasdair MacLullich, Martyn Patel, Opinder Sahota, Toby O Smith, Justin Waring, Jane L Cross

“…Comparing agreement in the data, we found sources agreed on ‘non-use’, but suitable informant over- and under-reporting of ‘use’ compared with hospital records did not follow a consistent pattern. Comparing SIR ‘hospital use’ over the 3-month periods pre-baseline and pre-6-month follow-up were identical at both assessments. …”
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Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures by Hasan Ali Akyürek

“…These models were trained and evaluated on a large dataset derived from a publicly available source. …”
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Beef Carcass Grading with EfficientViT: A Lightweight Vision Transformer Approach by Hyunwoo Lim, Eungyeol Song

“…Unlike conventional two-stage methods that require prior segmentation of the loin region, our model directly predicts beef quality grades from raw RGB images, significantly simplifying the pipeline and reducing computational overhead. We evaluate the proposed model against representative convolutional neural networks (VGG-16, ResNeXt-50, DenseNet-121) as well as two-stage combinations of segmentation and classification models. …”
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A Graph Representation Learning-Based Method for Event Prediction by Xi Zeng, Guangchun Luo, Ke Qin, Pengyi Zheng

“…Predicting events allows for the exploration of the developmental trajectories and summarization of patterns associated with these events. However, events typically encompass a myriad of elements and intricate relationships, necessitating an enhancement in the precision of event prediction. …”
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Enhanced visibility graph for EEG classification by Asma Belhadi, Pedro G. Lind, Pedro G. Lind, Pedro G. Lind, Youcef Djenouri, Youcef Djenouri, Anis Yazidi, Anis Yazidi

“…Our framework offers a holistic approach for capturing both frequency-domain characteristics and temporal dynamics of EEG signals. We evaluate four DL architectures, namely multilayer perceptron (MLP), long short-term memory (LSTM) networks, InceptionTime and ChronoNet, applied to several datasets and in different experimental conditions. …”
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Leaf Development and Its Interaction with Phyllospheric Microorganisms: Impacts on Plant Stress Responses by Huanhuan Yang, Jing Liu, Mei Ma, Zilong Tan, Kaiyue Zhang, Ruiqi Sun, Xinxin Zhan, Dayong Cui

“…Leaf development is regulated by intricately genetic and hormonal networks, which are further modulated by environmental inputs. …”
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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

“…The primary focus is on evaluating the performance of two prominent and widely-used machine learning algorithms: Artificial Neural Networks (ANN) and Random Forest (RF). …”
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Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach by Marc Semper, Manuel Curado, Jose Luis Oliver, Jose F. Vicent

“…Each technique contributes specific strengths to the modeling of spatiotemporal series: CNNs are effective at capturing local spatial patterns, while LSTM networks excel at modeling long-term temporal dependencies. …”
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Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback by Hafiz Muhammad Qadir, M. Taseer Suleman, Rafaqat Alam Khan, Muhammad Sohaib, Md Junayed Hasan, Syed Abid Hussain

“…In this paper, we implement several ensemble models-AdaBoost, Gradient Boosting, XGBoost, LightGBM, and CatBoost-and deep learning architectures such as Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Recurrent Neural Networks (RNN). …”
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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Spatial–Temporal Transformer for Optimizing Human Health Through Skeleton-Based Body Sports Action Recognition by Faze Liang, Lejia Ou, Zujun Lei, Xiaohong Tu, Kai Xin

“…These components collectively enable the framework to handle complex co-movement patterns, occlusions, and variability in execution styles. …”
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Integrated Platform for Bio-Image Processing and Identification of Cervical Cancer by Larisa-Dalina LAZĂR, Diogen BABUC, Todor IVAŞCU

“…Following this, the cervical cells are segmented and classified using a combination of machine learning algorithms, such as shallow machine learning models and Convolutional Neural Networks (CNN). We selected publicly available datasets, including Herlev and SIPaKMeD, to evaluate the performance of the proposed models, which are a very respectful base in the state-of-the-art analysis. …”
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Examining the role of semiotics in social media-driven information campaigns by Mayor Inna Gurung, Nitin Agarwal

“…Engagement was measured by likes, while diffusion patterns followed the SEIZ epidemiological model. Findings show that posts featuring SCP symbols consistently received more interaction, even when follower counts were equal. …”
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