Corrigendum to "Improved STNNet, A benchmark for detection, tracking, and counting crowds using Drones" [MethodsX 13 (2024) 1-7/102820].

[This corrects the article DOI: 10.1016/j.mex.

Improved STNNet, A benchmark for detection, tracking, and counting crowds using Drones.

In computer vision, navigating multi-object tracking in crowded scenes poses a fundamental challenge with broad applications ranging from surveillance systems to autonomous vehicles. Traditional tracking methods encounter difficulties associating noisy object detections and maintaining consistent labels across frames, particularly in scenarios like video surveillance for crowd control and public safety. This paper introduces 'Improved Space-Time Neighbor-Aware Network (STNNet),' an advanced framework for online Multi-Object Tracking (MOT) designed to address these challenges.

First repot of causing leaf spot on in India.

The Star fruit (Averrhoa carambola L.) was globally distributed, particularly in countries like China, India, Indonesia and was renowned for its abundant vitamin, mineral and antioxidant content (Reddy et al., 2023).

Impact of solid-fluid interfacial layer and nanoparticle diameter on Maxwell nanofluid flow subjected to variable thermal conductivity and uniform magnetic field.

The utilization of Maxwell fluid with nanoparticle suspension exhibits promising prospects in enhancing the efficacy of energy conversion and storage mechanisms. They have the potential to be utilized in sophisticated cooling systems for power generation facilities, thereby augmenting the overall energy efficacy. Keeping this in mind, the current research examines the Maxwell nanofluid flow over a rotating disk with the impact of a heat source/sink.