The content of this work is based on the characteristics of standard artificial bee colony(ABC) algorithm with weak local search ability and slow convergence speed.Then, an improved algorithm Outdoor Dining Bench named KD-ABC is proposed.For improving the diversity and quality of the solution, it changes the generation method of honey source.In the
FPN-SE-ResNet Model for Accurate Diagnosis of Kidney Tumors Using CT Images
Kidney tumors are a significant health concern.Early detection and accurate segmentation of kidney tumors are crucial for timely and effective treatment, which can improve patient outcomes.Deep learning techniques, particularly Convolutional Neural Networks (CNNs), have shown great promise in medical image analysis, including identifying and segmen
Length–weight and length–length relations of the seven endemic Alburnus species (Actinopterygii: Cypriniformes: Cyprinidae) in Iran
The length–weight (LWR) and length–length (LLR) relations were estimated for the first Hood Dress Up Kit time for the seven endemic species of the genus Alburnus Rafinesque, 1820 inhabiting Iranian rivers namely Alburnus atropatenae Berg, 1925; Alburnus caeruleus Heckel, 1843; Alburnus chalcoides (Güldenstädt,
rac-Ethyl 2-hydroxy-2,7,7-trimethyl-4-(4-nitrophenyl)-5-oxo-3,4,5,6,7,8-hexahydro-2H-chromene-3-carboxylate
The title molecule, C21H25NO7, has four stereogenic centres and crystallized as a racemate.It consists of enantiomeric pairs Heart Rate Ring with the relative configuration rac-(1R*,2S*,3R*).The cyclohexenone ring adopts an envelope conformation; the dimethyl-substituted C atom lies 0.640 (1) Å out of the mean plane formed by the r
Minimizing the Late Work of the Flow Shop Scheduling Problem with a Deep Reinforcement Learning Based Approach
In the field of industrial manufacturing, assembly line production is the most common production process that can be modeled as a permutation flow shop scheduling problem (PFSP).Minimizing the late work criteria (tasks remaining after due dates arrive) of production planning can effectively reduce production costs and allow for faster product deliv