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): 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): Khodaverdi H; Sedaghati R;

Magnetorheological (MR) foams represent a class of smart materials with unique tunable viscoelastic properties when subjected to external magnetic fields. Combining porous structures with embedded magnetic particles, these materials address challenges such as leakage and sedimentation, typically encountered in conventional MR fluids while offering advanta ...

Article GUID: 40732777

Author(s): Md Shike Bin Mazid Anik

Urban flooding has become a growing concern for many cities due to accelerating urbanisation, changing weather, and drainage system aging. Earlier studies of floods have taken primarily the traditional process-based approach to predicting urban floods, offering limited exploration of recent advancements in AI-driven, real-time, and community-integrated ap ...

Article GUID: 40692624

Author(s): Alves W; Babouras A; Martineau PA; Schutt D; Robbins S; Fevens T;

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline concussion detection methods, such as the King-Devick test commonly used as a rapid screening tool designed to evaluate eye movement, attention, language, and cognitive processing abilities suffer from validity ...

Article GUID: 40632382

Author(s): Nadler EO; Guilbeault D; Ringold SM; Williamson TR; Bellemare-Pepin A; Com?a IM; Jerbi K; Narayanan S; Aziz-Zadeh L;

Can metaphorical reasoning involving embodied experience-such as color perception-be learned from the statistics of language alone? Recent work finds that colorblind individuals robustly understand and reason abstractly about color, implying that color associations in everyday language might cont ...

Article GUID: 40621800

Author(s): AlHammad K; Medraj M; Tembely M;

Water droplet erosion (WDE) is a critical degradation phenomenon that significantly affects component lifespan and performance in power generation, aerospace, and wind energy industries. The incubation period-the initial phase before visible material loss occurs-is particularly crucial for maintenance planning and material selection yet remains challengin ...

Article GUID: 40612685

Author(s): Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R;

This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR), marking a paradigm shift from conventional, manually driven resuscitation practices to intelligent, data-driven interventions. It examines the evolution of CPR through the lens of predictive modeling, AI-enha ...

Article GUID: 40336660

Author(s): Kallel S; Amayri M; Bouguila N;

Efficient energy management relies on uncovering meaningful consumption patterns from large-scale electricity load demand profiles. With the widespread adoption of sensor technologies such as smart meters and IoT-based monitoring systems, granular and real-time electricity usage data have become available, enabling deeper insights into consumption behavio ...

Article GUID: 40218540