Results 231 to 240 of about 335,551 (306)
The Rogue Landlord: Tenants\u27 Recourse Against Self-Help for Damages Following a Residential Lease Termination [PDF]
Mansella, John N, Esq.
core +1 more source
Hail as a damage vector for renewable energy. [PDF]
Pryor SC, Barthelmie RJ.
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Promoting CHANGE cluster randomised controlled trial to improve food outlet healthiness in Australian sport and recreation facilities: protocol. [PDF]
Lalchandani N +13 more
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
An investigation of the factors underlying informal settlement growth: The case of Burayu City, Ethiopia. [PDF]
Bayuma TB, Abebe BG.
europepmc +1 more source
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen +4 more
wiley +1 more source
Siting Renewable Energy Projects on the Outer Continental Shelf: Spin, Baby, Spin! [PDF]
Colamaria, Angela F. +1 more
core +1 more source
Balancing the blue economy and multiple stressor management in marine spatial planning at the land-sea interface. [PDF]
Wilson R +4 more
europepmc +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source

