Results 41 to 50 of about 2,337,392 (235)
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Hyalopecten tydemani Dijkstra 1990
Hyalopecten tydemani Dijkstra, 1990 Palliolum (Hyalopecten) tydemani Dijkstra, 1990: 7, pl. 2, fig. 13. Hyalopecten tydemani – Dijkstra & Maestrati 2008:103, figs 42, 43. MATERIAL EXAMINED. — Indonesia.
Maestrati, Philippe, Dijkstra, Henk H.
core +1 more source
Comparison of Dijkstra dan Floyd-Warshall Algorithm to Determine the Best Route of Train
This study aims to find out the comparison of Dijkstra and Floyd-Warshall algorithms in finding the best path on a train trip. The best route is the path, which has the minimum price of a train journey.
Tri Setya Dermawan
doaj +1 more source
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova +5 more
wiley +1 more source
Cyclopecten cancellus Dijkstra 1991
Cyclopecten cancellus Dijkstra, 1991 Cyclopecten cancellus Dijkstra, 1991: 21, figs 66-70. MATERIAL EXAMINED.— Indonesia. Off SW Salayer, 6°22.4’S, 120°26.3’E, 130-155 m (SNELLIUS-II stn 4.153), holotype lv (RMNH 56560). Grand-Passage.
Maestrati, Philippe, Dijkstra, Henk H.
core +1 more source
RRT algorithm for path clipping of robotic arm guided by graph complexity
Aimed at the issues of slow convergence speed, high path redundancy, and low sampling point utilization caused by the random sampling characteristics of the rapidly-exploring random tree (RRT) algorithm, a new solution was proposed.First, the graph ...
SHEN Danfeng +3 more
doaj +1 more source
An algorithm for operational navigation in urban development using reinforcement learning [PDF]
This paper presents a navigation system for unmanned aerial vehicles (UAVs) operating in urban environments, where the main challenges include changes to the city layout that may not be reflected on existing maps.
I. Alyrchikov +3 more
doaj +1 more source
Strategic Impact of EU Taxonomy on Pharmaceutical Firms' Performance
ABSTRACT Sustainability has become a central concern in economic policy and corporate governance, increasingly formalised through regulatory frameworks of the European Union (EU). The European Commission has published the EU Taxonomy, which allows economic activities and their contribution to sustainability to be analysed, taking into account ...
Alicia Ramírez‐Orellana +3 more
wiley +1 more source
Parvamussium retiaculum Dijkstra 1995
Parvamussium retiaculum Dijkstra, 1995 Parvamussium retiaculum Dijkstra, 1995: 28, figs 35-38. MATERIAL EXAMINED. — New Caledonia. Southern New Caledonia, 23°05’S, 167°45’E, 680-700 m, holotype spm (MNHN 24266). Vanuatu. SANTO 2006, stn AT19, 15°
Maestrati, Philippe, Dijkstra, Henk H.
core +1 more source
Path Planning of a Mobile Robot Based on the Improved RRT Algorithm
RRT (rapidly exploring random tree) is a sampling-based planning algorithm that has been widely used due to its simple structure and fast speed. However, the RRT algorithm has several issues such as low planning efficiency, high randomness, and poor path
Xiangjie Li, Yala Tong
doaj +1 more source

