Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Most efforts to reduce data QC time rely on quantitative outlier detection, which cannot capture every instance of algorithm failure. Thus, there is a need to visually inspect every output of data processing pipelines in a scalable manner. …”
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Cost-Effective Multitask Active Learning in Wearable Sensor Systems by Asiful Arefeen, Hassan Ghasemzadeh

“…Multitask learning models provide benefits by reducing model complexity and improving accuracy by concurrently learning multiple tasks with shared representations. Leveraging inductive knowledge transfer, these models mitigate the risk of overfitting on any specific task, leading to enhanced overall performance. …”
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Perceptions of, Barriers to, and Facilitators of the Use of AI in Primary Care: Systematic Review of Qualitative Studies by Héctor Martínez-Martínez, Julia Martínez-Alfonso, Belén Sánchez-Rojo-Huertas, Valeria Reynolds-Cortez, Andrea Turégano-Chumillas, Victoria A Meseguer-Ruiz, Shkelzen Cekrezi, Vicente Martínez-Vizcaíno

“…However, clinicians and patients share concerns regarding data privacy, security, and potential biases in AI algorithms. …”
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Designing a Multi-Objective Stable Mathematical Model for Routing Municipal Waste Collection Vehicles by Afrouz Rahmandoust, Ashkan Hafezalkotob, Bijan Rahmani Parchikolaei, َAmir Azizi

“…Multi-objective meta-heuristic algorithms were applied to solve the model in scenarios with larger dimensions. …”
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Bilevel Programming Model of Urban Public Transport Network under Fairness Constraints by Jingjing Hao, Xinquan Liu, Xiaojing Shen, Nana Feng

“…The model in addition utilised the noninferior sorting genetic algorithm II to validate the model via a simple network. …”
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Multimodal Fusion Multi-Task Learning Network Based on Federated Averaging for SDB Severity Diagnosis by Songlu Lin, Renzheng Tang, Yuzhe Wang, Zhihong Wang

“…The proposed framework is built upon a hybrid deep neural architecture that integrates convolutional layers (CNN) for spatial representation, bidirectional GRUs for temporal modeling, and multi-head self-attention for long-range dependency learning. A shared feature extractor is combined with task-specific heads to enable joint diagnosis, while the FedAvg algorithm is employed to facilitate decentralized training across multiple institutions without sharing raw data, thereby preserving privacy and addressing non-IID challenges. …”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…Finally, we design a Lightweight Shared Convolutional Detection Head (LSCD) that dramatically reduces model parameters while maintaining detection accuracy, coupled with a Coordinate Attention (CA) mechanism to reinforce critical feature representation. …”
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Instagram's impact on dental consumers: analyzing toothpaste hashtags by Khalifa S. Al-Khalifa, Rasha AlSheikh, Basmah O. Alakloby, Hind M. Alharbi, Razan F. Alghamdi, Saqib Ali, Laila Al Dehailan

“…The type of toothpaste used, combined with effective toothbrushing techniques, significantly influences oral health outcomes. Information shared on social media platforms can create awareness, generate interest, and influence perceptions regarding toothpaste brands and their benefits. …”
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Temporal patterns of multiple long-term conditions in individuals with intellectual disability living in Wales: an unsupervised clustering approach to disease trajectories by Rania Kousovista, Georgina Cosma, Emeka Abakasanga, Ashley Akbari, Francesco Zaccardi, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

“…Subsequently, an unsupervised clustering algorithm—spectral clustering—was applied to the shared disease trajectories, grouping them based on common temporal patterns.ResultsThe study population comprised 52.3% males and 47.7% females, with a mean of 4.5 ± 3 long-term conditions (LTCs) per patient. …”
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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…Resistance is often caused by mobile antibiotic resistance genes (ARGs) shared horizontally between bacterial genomes. Many ARGs originate from environmental and commensal bacteria and are transferred between divergent bacterial hosts before they reach pathogens. …”
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Adaptive Virtual Inertia and Voltage Estimation: Enabled Model Predictive Control for Improved Performance in Islanded DC Microgrids by Salisu Abdullahi, Khaled Eltag, Lei Weining, Chen Xiaohu

“…The virtual DC grid voltage is estimated using covariance adaptation in a standard Kalman filter algorithm. State estimation via feedback control stabilizes the voltage. …”
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A Proactive Caching Approach to Boost Network Offloading in Urban Areas by Ahmed Hassan, Khaled Metwally, Tamer Mekkawy, Ashraf Mahran

“…At its core is the Cognitive File Caching Algorithm (CFCA), a proactive, scalable, and adaptive approach designed to address complex challenges involving varying file popularity in cities and user movement patterns. …”
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Optimal Economic Dispatch Strategy for Cascade Hydropower Stations Considering Electric Energy and Peak Regulation Markets by Fan Liu, Wentao Huang, Jingjing Ma, Jun He, Can Lv, Yukun Yang

“…The objective function takes into account the generation capacity of the cascade hydropower stations, the benefits of the EEM, the influence of the spot market, the compensatory benefits of peaking, and the sharing expenses of peaking; secondly, the constraints at the level of the power grid, the level of the cascade hydropower stations, and the level of the market are taken into account comprehensively, and the Harris Hawk Algorithm is used to solve the model; lastly, by comparing different schemes, it is observed that under varying inflow conditions, the proposed dispatch strategy in this paper yields slightly lower revenue in the EEM than other schemes. …”
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Enhanced Stability and Performance of Islanded DC Microgrid Systems Using Optimized Fractional Order Controller and Advanced Energy Management by Md. Wahidujjaman, Tasnim Ul Bari, Md. Shafiul Alam, Md. Rashidul Islam, Md. Alamgir Hossain, Md. Arafat Hossain, Md. Rafiqul Islam Sheikh

“…To address these issues, this study proposes the use of an optimized fractional order PI (FOPI) controller and an efficient energy management algorithm. The FOPI controller regulates processes while meeting constraints, with the control rule generated from minimizing a cost function. …”
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Power-Efficient UAV Positioning and Resource Allocation in UAV-Assisted Wireless Networks for Video Streaming with Fairness Consideration by Zaheer Ahmed, Ayaz Ahmad, Muhammad Altaf, Mohammed Ahmed Hassan

“…With the increasing demand of mobile video, efficient bandwidth allocation becomes essential. In shared networks, users with lower bitrates experience poor video quality when high-bitrate users occupy most of the bandwidth, leading to a degraded and unfair user experience. …”
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Research on multi-view collaborative detection system for UAV swarms based on Pix2Pix framework and BAM attention mechanism by Yan Ding, Qingxin Cao, Bozhi Zhang, Peilin Li, Zhongjiao Shi

“…They excel in information sharing, anti-jamming capabilities, and combat performance, making them critical for future warfare. …”
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Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna O. Yonah, Fidalis D. N. Mujibi

“…Results indicated that, for the Ethiopian dataset, clusters derived from the fuzzy algorithm had the highest predictive power (77% for milk yield and 48% for milk sales), while for the Tanzania data, clusters derived from Self-Organizing Maps were the best performing. …”
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Multi locus sequence typing of Chlamydia reveals an association between Chlamydia psittaci genotypes and host species. by Yvonne Pannekoek, Veerle Dickx, Delphine S A Beeckman, Keith A Jolley, Wendy C Keijzers, Evangelia Vretou, Martin C J Maiden, Daisy Vanrompay, Arie van der Ende

“…Chlamydia psittaci, causing zoonotic pneumonia in humans, is usually hosted by birds, while Chlamydia abortus, causing abortion and fetal death in mammals, including humans, is mainly hosted by goats and sheep. …”
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FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability by Afraa Attiah, Shatha Alahmadi, Abeer Hakeem, Linda Mohaisen, Abeer Almakky, Reemah M. Alhebshi

“…Instead of transmitting raw data, only model updates are shared, reducing communication overhead and security risks. …”
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Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention by Kwabena Sarpong, Jehoiada Kofi Jackson, Derrick Effah, Daniel Addo, Sophyani Banaamwini Yussif, Mohammad Awrangjeb, Rutherford Agbeshi Patamia, Juliana Mantebea Danso, Zhiguang Qin

“…We empirically show that appropriate parameter sharing in the cross channel interaction can preserve performance while significantly reducing model complexity. …”
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