{"product_id":"advances-in-neural-networks-isnn-2025-9789819512324","title":"Advances in Neural Networks  ISNN 2025","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Design, Modeling and Application of A\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;\"\u003eI \u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003eAlgorithms.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Modeling Competitive Behavior in Weight-Unbalanced Social Networks.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Muography Inversion Based on First-Order Optimization Algorithm.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Adversarial Imitation Learning Based on Weighted Wasserstein Distance.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003e.- CDEDI: A Conditional Diffusion Based Model for Environmental Data\u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;\"\u003e imputation.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;\"\u003e.- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data.\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 10.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: 'Times New Roman'; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003e.- Multimodal Deep Learning for Retinal Disease Diagnosis.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212850651479,"sku":"9789819512324","price":104.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advances-in-neural-networks-isnn-2025-9789819512324","provider":"Book Curl","version":"1.0","type":"link"}