Author(s): Ekwe M; Fernando H; James G; Adeluyi O; Verrelst J; Kross A;

Leaf area index (LAI) is a key indicator of crop growth and development and is widely used in both agricultural research and precision farming applications. PlanetScope imagery is generally used for monitoring crop growth due to its high revisit frequency, broad spatial coverage, and cost-effective access to consistent high-resolution multispectral data. ...

Article GUID: 41682534

Author(s): Deng S; Harlaar N; Zhang J; Dekker SO; Kudryashova NN; Zhou H; Bart CI; Jin T; Derevyanko G; van Driel W; Panfilov AV; Poelma RH; de Vries AAF; Zhang G; De Coster T; Pijnappels DA;

Control theory underpins the stabilization of dynamic systems, including cardiac tissue, where disruptions in electrical conduction cause arrhythmias. Current treatments either act rapidly but without precision or deliver targeted interventions that cannot adapt in real time. We present an integr ...

Article GUID: 41684280

Author(s): Yang Z; Li K; Ramandi SG; Brassard P; Khellaf A; Trinh VQ; Zhang J; Chen L; Rowsell C; Varma S; Plataniotis K; Hosseini MS;

Computational pathology (CPath) leverages histopathology images to enhance diagnostic precision and reproducibility in clinical pathology. However, publicly available datasets for CPath that are annotated with extensive histological tissue type (HTT) taxonomies at a granular level remain scarce d ...

Article GUID: 41658283

Author(s): Yaghoobian S; An J; Jeong DW; Hwang JH;

Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into Per- and polyfluoroalkyl substances (PFAS) research; however, the field remains fragmented with substantial variation in modeling objectives. This review provides one of the most comprehensive and detailed syntheses to date of AI/ML methods across the PFAS contaminatio ...

Article GUID: 41483514

Author(s): Wu C; Chen Z; Peng C; An C;

Plastic pollution in aquatic environments has become a growing global concern, with floating macroplastics posing serious ecological, economic, and health risks from inland water bodies to remote coastal zones. Despite advances in satellite remote sensing, reliable and scalable detection of floating plastics remains limited by spectral confusion and the l ...

Article GUID: 41406508

Author(s): Zhang Y; Lahmiri S;

Crude oil price forecasting is an important task in energy management and storage. In this regard, deep learning has been applied in the literature to generate accurate forecasts. The main purpose of this study is to design an ensemble prediction system based on various deep learning systems. Specifically, in the first stage of our proposed ensemble syste ...

Article GUID: 41294965

Author(s): Mohammadi H; Zargaran SJ; Khajehpour H; Adibi I; Rahimiforoushani A; Karimi S; Serej ND; Alam NR;

Short-term memory (STM) temporarily stores sensory information, critical for synaptic plasticity, memory, and learning, and is regulated by the glutamate-gated NMDA receptor. While the frontal and parieto-occipital cortices have been implicated in STM, the electrochemical dynamics of the right he ...

Article GUID: 41171530

Author(s): Ranipa K; Zhu WP; Swamy MNS;

Vision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC). However, most of the existing studies on HSC rely on single-stream architectures, overlooking the advantages of multi-resolution features. While multi-stream architectures employing early or late fusion ...

Article GUID: 41155032

Author(s): Khademi S; Heidarian S; Afshar P; Mohammadi A; Sidiqi A; Nguyen ET; Ganeshan B; Oikonomou A;

In this study, we propose a novel hybrid framework for assessing the invasiveness of an in-house dataset of 114 pathologically proven lung adenocarcinomas presenting as subsolid nodules on Computed Tomography (CT). Nodules were classified into group 1 (G1), which included atypical adenomatous hyp ...

Article GUID: 41150036

Author(s): Abicumaran Uthamacumaran

Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT ...

Article GUID: 40848317

Author(s): Yuksel IB; Boudesh A; Ghanbarzadehchaleshtori M; Ozsoy SC; Bahrilli S; Mohammadi R; Altindag A;

Idiopathic osteosclerosis (IOS) and condensing osteitis (CO) represent radiopaque lesions often detected incidentally within the jaws, posing substantial diagnostic challenges due to their overlapping radiographic characteristics. The objective of this study was to assess the diagnostic efficacy ...

Article GUID: 40790082