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Titlebook: Second Quantized Approach to Quantum Chemistry; An Elementary Introd Péter R. Surján Textbook 1989 Springer-Verlag Berlin Heidelberg 1989 S

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51#
發(fā)表于 2025-3-30 10:16:52 | 只看該作者
Intermolecular Interactions,e shall consider a case where second quantization contributes also to understanding the physics of the problem. The questions we shall treat here arise when considering the interaction between two many-electron systems..
52#
發(fā)表于 2025-3-30 15:00:14 | 只看該作者
53#
發(fā)表于 2025-3-30 19:05:43 | 只看該作者
54#
發(fā)表于 2025-3-30 23:16:32 | 只看該作者
55#
發(fā)表于 2025-3-31 01:30:03 | 只看該作者
56#
發(fā)表于 2025-3-31 08:47:16 | 只看該作者
Péter R. Surjánbstacle’s expansion approach. Experimental results show that the presented control framework successfully leads the ball to pass through the maze and arrive at the target spot. The presented visual servo control scheme works effectively in both stabilization and tracking control missions.
57#
發(fā)表于 2025-3-31 10:45:58 | 只看該作者
Péter R. Surjánror in a plane of movements, such as the knee and elbow in the sagittal plane and the wrist in the frontal plane. On the other hand, in other joints such as the hip and ankle, its results are dependent on the action, the time periods of the evaluated actions, and the view of the camera.
58#
發(fā)表于 2025-3-31 14:09:33 | 只看該作者
Péter R. Surjántractors, i.e., the ABCD scoring method (asymmetry, border, color, diameter) and gray level co-occurrence matrix (GLCM), to extract cancer-affected areas. Finally, five different machine learning classifiers such as logistic regression (LR), decision tree (DT), k-nearest neighbors (KNN), support vec
59#
發(fā)表于 2025-3-31 19:23:24 | 只看該作者
Péter R. Surjáne for the training categories. We propose a deterministic approach to infer the attributes for the testing classes which, despite its simplicity, shows competitive results. We also propose two simple improvements to the structured embedding formulation of Akata .., leading to significant improvement
60#
發(fā)表于 2025-4-1 00:11:52 | 只看該作者
Péter R. Surjáne for the training categories. We propose a deterministic approach to infer the attributes for the testing classes which, despite its simplicity, shows competitive results. We also propose two simple improvements to the structured embedding formulation of Akata .., leading to significant improvement
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