標(biāo)題: Titlebook: Applied Intelligence; First International De-Shuang Huang,Prashan Premaratne,Changan Yuan Conference proceedings 2024 The Editor(s) (if ap [打印本頁] 作者: aggression 時(shí)間: 2025-3-21 16:22
書目名稱Applied Intelligence影響因子(影響力)
書目名稱Applied Intelligence影響因子(影響力)學(xué)科排名
書目名稱Applied Intelligence網(wǎng)絡(luò)公開度
書目名稱Applied Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applied Intelligence被引頻次
書目名稱Applied Intelligence被引頻次學(xué)科排名
書目名稱Applied Intelligence年度引用
書目名稱Applied Intelligence年度引用學(xué)科排名
書目名稱Applied Intelligence讀者反饋
書目名稱Applied Intelligence讀者反饋學(xué)科排名
作者: Carbon-Monoxide 時(shí)間: 2025-3-21 22:17 作者: RADE 時(shí)間: 2025-3-22 01:12 作者: Trigger-Point 時(shí)間: 2025-3-22 05:13
Bradyrhizobium Elkanii’s Genes Classification with SVM magnified thousands or even tens of thousands of times to be observed. Bradyrhizobium elkanii’s is one of the most significant oral microorganisms. In this work, we focus on the classification of Bradyrhizobium elkanii’s coding genes and non-coding ones. We selected the whole genome information fro作者: Climate 時(shí)間: 2025-3-22 11:58
Oral Lichen Planus Classification with SEResNetled of oral health. Such disease poses a serious threat to oral health. In this work, we focus on classification the oral lichen planus photos between pro-treatment and post-treatment. We selected 67 pro-treatment patients’ photos and 41 post-treatment patients’ photos. And then, we employed SEResNe作者: 暗指 時(shí)間: 2025-3-22 13:33
Nucleotide Sequence Classification of Paeonia Lactiflora Based on Feature Representation Learningde effects and better patient compliance. Nucleotide sequence is of great significance in the field of Botany. In order to further study the pharmacology of Radix Paeonia Alba, the classification and prediction of nucleotide sequence of Radix Paeonia Alba is an important challenge. In this paper, we作者: obstruct 時(shí)間: 2025-3-22 19:03
Semantic Similarity Functions and Their Applicationsto Plato. Although studied by philosophers, and mathematicians for a long time, there was no agreement on the “best way” to define it and measure it. Recently, the concept of similarity and methods to assess similarity between objects have assumed great importance in Data Mining (DM), Machine Learni作者: 存在主義 時(shí)間: 2025-3-23 00:43
A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detectionsometimes lead to inconsistent judgment outcomes. To mitigate this, it is imperative to establish a comprehensive algorithm to aid in resolving this issue. This study introduces a novel deep learning architecture that integrates convolutional neural network (CNN) and capsule neural network (CapsNet)作者: CLEFT 時(shí)間: 2025-3-23 04:00
Improved ConvNeXt Facial Expression Recognition Embedded with Attention Mechanismiving, intelligent monitoring, and human-computer interaction. This article addresses the problems of insufficient key information extraction, low recognition accuracy, and easy overfitting in facial expression recognition, and proposes an ECA-ConvNeXt network based on transfer learning strategy and作者: 預(yù)示 時(shí)間: 2025-3-23 09:21 作者: 阻撓 時(shí)間: 2025-3-23 10:49 作者: DALLY 時(shí)間: 2025-3-23 15:07
Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Methodete data and improve the success rate of drug development, researchers often need to effectively impute the missing data. Therefore, this paper proposes a gene expression programming-based method, called GEP-CPI, for imputing missing compound property assay data. In GEP-CPI, the missing data imputat作者: 食草 時(shí)間: 2025-3-23 19:03
Identification of Parkinson’s Disease Associated Genes Through Explicable Deep Learning and Bioinforpression data were collected from the GEO dataset, subjected to rigorous differential expression analysis to curate genes for subsequent scrutiny. Based on the P-Net and PASNet models, we have developed a pathway-related deep learning model that integrates PD-associated gene expression data with est作者: Nomadic 時(shí)間: 2025-3-24 00:05 作者: Neonatal 時(shí)間: 2025-3-24 03:38
Challenges in Realizing Artificial Intelligence Assisted Sign Language Recognitions would appear to solve a certain aspect of a problem, but not the real problem at hand. In the context of a challenging real problem, such approach would simply deceive the researcher into extrapolating the existing capabilities but would not offer any practical realization of the real problem. Com作者: Gobble 時(shí)間: 2025-3-24 07:36
Efficient and Accurate Document Parsing and Verification Based on OCR Engineification certificates from electronic documents like images, scans, and PDFs within bid documents. Leveraging an OCR engine and well-trained models with strong error correction capabilities, the accuracy of OCR in bid document processing for Guizhou Power Grid Company is significantly improved. Thi作者: archetype 時(shí)間: 2025-3-24 14:36 作者: 欲望 時(shí)間: 2025-3-24 17:17 作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-24 21:28
Romano Audhoe,Neil Thompson,Karen Verduijnf 42 young athletes (19 males and 23 females, aged 9–17?years) from the diving team of Shenzhen Sports School, and then three morphological data of corneal curvature, astigmatism, and thickness were measured based on the topographic maps. A study was conducted to analyze the influence of diving on c作者: 斗志 時(shí)間: 2025-3-25 00:55
https://doi.org/10.1007/978-3-319-71014-3ever, the traditional emotion recognition approach utilizes all EEG channels which may lead to increased computational degree as well as un-wanted interfering information affecting the accuracy. And it is not suitable for all emotion recognition work. In this paper, we propose an EEG selection frame作者: occult 時(shí)間: 2025-3-25 05:08 作者: BILIO 時(shí)間: 2025-3-25 07:46
Greg Quigley: Jazz Music Institute magnified thousands or even tens of thousands of times to be observed. Bradyrhizobium elkanii’s is one of the most significant oral microorganisms. In this work, we focus on the classification of Bradyrhizobium elkanii’s coding genes and non-coding ones. We selected the whole genome information fro作者: chastise 時(shí)間: 2025-3-25 12:48 作者: GULF 時(shí)間: 2025-3-25 19:02 作者: 大量殺死 時(shí)間: 2025-3-25 22:44
https://doi.org/10.1007/978-981-19-0703-6to Plato. Although studied by philosophers, and mathematicians for a long time, there was no agreement on the “best way” to define it and measure it. Recently, the concept of similarity and methods to assess similarity between objects have assumed great importance in Data Mining (DM), Machine Learni作者: bypass 時(shí)間: 2025-3-26 01:41
https://doi.org/10.1007/978-981-19-0703-6sometimes lead to inconsistent judgment outcomes. To mitigate this, it is imperative to establish a comprehensive algorithm to aid in resolving this issue. This study introduces a novel deep learning architecture that integrates convolutional neural network (CNN) and capsule neural network (CapsNet)作者: Silent-Ischemia 時(shí)間: 2025-3-26 05:39 作者: Ancestor 時(shí)間: 2025-3-26 10:02
C. E. Woolman and Delta Air Lineson is being studied. Simultaneously, variations in EEG signals among individuals may present difficulties in the model’s ability to generalize across different individuals. A model may perform well on one person but not on others, limiting its reliability and generalizability in practical applicatio作者: 笨重 時(shí)間: 2025-3-26 13:34
Anthony J. Mayo,Nitin Nohria,Mark Rennelland reduce resource consumption. Researchers have explored some deep learning-based methods to improve DTA prediction in recent years, demonstrating the great potential of deep learning in DTA prediction. They have developed several molecular representation learning methods for drug compounds in deep作者: 哥哥噴涌而出 時(shí)間: 2025-3-26 20:15
Anthony J. Mayo,Nitin Nohria,Mark Rennellaete data and improve the success rate of drug development, researchers often need to effectively impute the missing data. Therefore, this paper proposes a gene expression programming-based method, called GEP-CPI, for imputing missing compound property assay data. In GEP-CPI, the missing data imputat作者: 放逐 時(shí)間: 2025-3-26 21:57 作者: monogamy 時(shí)間: 2025-3-27 04:11
C. E. Woolman and Delta Air Lineseeper understanding of the roles and interactions of proteins within living organisms. Since the 3D structure data of proteins obtained experimentally are far less in quantity than the corresponding protein sequence data, most experiments related to protein function prediction currently rely on usin作者: dendrites 時(shí)間: 2025-3-27 05:33 作者: HERE 時(shí)間: 2025-3-27 13:19 作者: deface 時(shí)間: 2025-3-27 16:46 作者: 概觀 時(shí)間: 2025-3-27 18:25 作者: 雕鏤 時(shí)間: 2025-3-28 01:29 作者: 使出神 時(shí)間: 2025-3-28 04:37 作者: 平淡而無味 時(shí)間: 2025-3-28 07:35 作者: 秘密會議 時(shí)間: 2025-3-28 10:34
C. E. Woolman and Delta Air Linesconvolution module to learn spatial feature information. Finally, a domain adaptation strategy is employed for both single-source and multi-source domain scenarios. The objective of this strategy is to address the issue of variability in the EEG signal by minimizing the discrepancy between the sourc作者: 錯(cuò)誤 時(shí)間: 2025-3-28 17:26
Anthony J. Mayo,Nitin Nohria,Mark RennellaTo tackle this problem, we developed a novel protein pre-training method (PTR) for protein representation learning, then proposed a DTA prediction framework, called Transformer-Graph drug-target affinity prediction (T-GraphDTA), based on PTR and hybrid graph neural network. The hybrid graph neural n作者: 護(hù)身符 時(shí)間: 2025-3-28 19:57 作者: 嚴(yán)重傷害 時(shí)間: 2025-3-29 00:06 作者: Muffle 時(shí)間: 2025-3-29 03:05 作者: engrave 時(shí)間: 2025-3-29 07:28
Investigation and Analysis of Corneal Morphology in Young Diversgroups and training time groups (P?
作者: 血統(tǒng) 時(shí)間: 2025-3-29 12:08 作者: curriculum 時(shí)間: 2025-3-29 15:32 作者: ALLEY 時(shí)間: 2025-3-29 21:44 作者: mutineer 時(shí)間: 2025-3-30 00:37
T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model To tackle this problem, we developed a novel protein pre-training method (PTR) for protein representation learning, then proposed a DTA prediction framework, called Transformer-Graph drug-target affinity prediction (T-GraphDTA), based on PTR and hybrid graph neural network. The hybrid graph neural n作者: 假設(shè) 時(shí)間: 2025-3-30 05:40
Identification of Parkinson’s Disease Associated Genes Through Explicable Deep Learning and Bioinforis, G protein-coupled receptor signaling pathway) related to Parkinson’s disease. The importance of these genes has been validated through external datasets and UPDRS III scores. Of particular significance is the XK gene, also known as Kell blood group precursor, and numerous XK gene mutations have 作者: 山頂可休息 時(shí)間: 2025-3-30 09:21
Enzyme Turnover Number Prediction Based on Protein 3D Structureso verify the effectiveness of the model, several enzyme reaction datasets were constructed, and multiple groups of comparative experiments were conducted. The experimental results demonstrate the feasibility of using 3D protein structures for enzyme function prediction, which opens up avenues for fu作者: PURG 時(shí)間: 2025-3-30 13:48 作者: bromide 時(shí)間: 2025-3-30 17:11
Imputation of Compound Property Assay Data Using a Gene Expression Programming-Based Methodromosome population. Experimental results on three compound property assay related datasets demonstrates that the proposed method generally outperforms the state-of-the-art methods in imputing missing data of compound property assays.作者: floodgate 時(shí)間: 2025-3-30 20:49
Conference proceedings 2024ICAI 2023, held in Nanning, China, December 8–12, 2023..The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They we作者: 廚房里面 時(shí)間: 2025-3-31 03:36 作者: IRS 時(shí)間: 2025-3-31 08:17
Paula Ungureanu,Diego Maria Macriormation contained within the prototype sets during the iterative process, we generate a prior mask from this information and provide coarse spatial location about the target for the model through a simple prior-guided attention module (PGA). Experiments on three different datasets validate that our proposed approach outperforms existing methods.作者: faultfinder 時(shí)間: 2025-3-31 09:31 作者: 組裝 時(shí)間: 2025-3-31 14:33
