Results 181 to 190 of about 2,930,586 (273)
Interpolative multidimensional scaling techniques for the identification of clusters in very large sequence sets [PDF]
Adam L. Hughes +7 more
openalex +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Golem: a flexible and efficient solver for constrained Horn clauses. [PDF]
Blicha M, Britikov K, Sharygina N.
europepmc +1 more source
General interpolating sequences in disks and polydisks [PDF]
Eric P. Kronstadt
openalex +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Evaluating the effectiveness of distortion self-correction for CEST-EPI. [PDF]
Liu Y +7 more
europepmc +1 more source
Interpolating sequences for holomorphic functions of restricted growth
A. Hartmann, X. Massaneda
semanticscholar +1 more source
SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim +9 more
wiley +1 more source
Nanobodies against Clostridioides difficile CDTb provide a toolkit for potent toxin neutralization and highly sensitive quantitation. [PDF]
Nabukhotna K +11 more
europepmc +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source

