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  • 来自专栏跟牛老师一起学WEBGIS

    To be a Literature and Art Programmer

    概述: 今天,咱们不讲程序,不讲代码,讲讲如何做一个文艺的程序员。 正文: 在大家的映像中,程序员是这样的? 亦或是这样的?? 还是???NO,我们还是不要酱紫吧,毕竟酱紫不太好,我们要: 我们还要:

    45420发布于 2018-10-23
  • 来自专栏以终为始

    Doki Doki Literature Club ZOJ - 4035

    Doki Doki Literature Club ZOJ - 4035 题解:其实就是简单排序输出就没了。

    66520编辑于 2023-03-09
  • 来自专栏天意云&天意科研云&天意生信云

    吊打GPT-4!用O1写文献综述质量太高啦~(附微信小程序)

    Please summarize the main research topics and latest trends in the existing literature and recommend Please help me identify the most frequently cited literature in [specific research field] and briefly Please help me construct a coherent literature review framework that ensures smooth transitions between Please help me extract the theoretical framework from the existing literature and suggest how it can Please help me summarize controversial viewpoints in the literature and provide critical discussion.

    33000编辑于 2025-03-06
  • 来自专栏数据医生专栏

    SELECT from nobel | SQLZOO刷题

    SELECT yr, subject, winner FROM nobel WHERE yr = 1950 2.1962 Literature Show who won the 1962 prize for Literature. SELECT winner FROM nobel WHERE yr = 1962 AND subject = 'Literature' 3.Albert Einstein Show the SELECT winner FROM nobel WHERE subject = 'Peace' AND yr >= 2000 5.Literature in the 1980's Show all details (yr, subject, winner) of the Literature prize winners for 1980 to 1989 inclusive.

    2.1K20发布于 2019-07-12
  • 来自专栏Y-StarryDreamer

    [自然语言处理|NLP]NLP在生物医学文献挖掘的应用:从原理到实践

    knowledge_graph = literature_information_extraction(text_data)print("知识图谱构建结果:", knowledge_graph)2.2 , max_tokens=150 ) return response.choices[0].text.strip()# 示例literature_data = "最新关于抗生素的研究文献 discovery_interaction_result = drug_discovery_and_interaction_analysis(literature_data, drug_information , max_tokens=150 ) return response.choices[0].text.strip()# 示例literature_data = "最新关于癌症治疗临床试验的文献 clinical_trial_info_result = clinical_trial_information_extraction(literature_data)print("临床试验信息提取与分析结果

    1.1K00编辑于 2023-11-29
  • 来自专栏机器学习/数据可视化

    sqlzoo练习3

    SELECT yr, subject, winner FROM nobel WHERE yr = 1950; Show who won the 1962 prize for Literature. SELECT winner FROM nobel WHERE yr = 1962 AND subject = 'Literature'; Show the year and subject that won winner from nobel where subject = 'Peace' and yr >= 2000; Show all details (yr, subject, winner) of the Literature prize winners for 1980 to 1989 inclusive. select yr, subject, winner from nobel where subject='Literature won a ‘Medicine’ prize in an early year (before 1910, not including 1910) together with winners of a ‘Literature

    56920发布于 2021-03-02
  • 基于 Python 的知网文献批量采集与可视化分析

    = soup.find_all('div', class_='result-item') for item in literature_items: try: # 提取核心信息 literature_info = { 'title': item.find continue def save_data(self, file_path='cnki_literature.csv'): """将采集的数据保存为CSV文件""" (self.literature_data) # 数据清洗:去除空标题记录 df = df[df['title'] ! (keyword='人工智能', page_num=5) # 保存数据 df = crawler.save_data('cnki_ai_literature.csv')

    46410编辑于 2026-01-20
  • 来自专栏Y-StarryDreamer

    [自然语言处理|NLP]医疗NLP中的应用:从原理到实践

    # 示例代码:文献挖掘from transformers import pipeline# 使用Hugging Face的BERT进行文献关键词提取literature_nlp = pipeline(" ner", model="dbmdz/bert-large-cased-finetuned-conll03-english")literature_text = "最近的研究表明..." literature_entities = literature_nlp(literature_text)print("文献关键词提取结果:", literature_entities)3.

    2.8K00编辑于 2023-11-17
  • 来自专栏萝卜大杂烩

    Pandas GroupBy 深度总结

    753, 758, 767, 800, 805, 854, 856, 860, 864, 871, 882, 896, 912, 916, 924], dtype=int64), 'Literature --------------------- awardYear category prizeAmount prizeAmountAdjusted \ 21 1957 Literature 208629 2697789 31 1970 Literature 400000 3177966 ].sum() Output: category Chemistry 1151447726 Economic Sciences 658373449 Literature 400000 3177966 Alexandr Solzhenitsyn male Europe 40 2013 Literature 8000000 8365867 Alice Munro female

    6.7K40编辑于 2022-09-28
  • 来自专栏天意云&天意科研云&天意生信云

    导师:建议各位都看完 这50个顶级的ChatGPT指令【附使用教程】

    Please suggest five highly innovative topics with abundant literature resources based on the latest research Assume you are an expert in literature analysis within the field of [e.g., Material Science]. Based on the following literature, draft the conclusion section of a literature review, highlighting ]. 14.请将以下文献资料整理为标准的GB/T 7714格式参考文献列表:[粘贴文献资料] Format the following literature references according to the GB/T 7714 citation standard: [Insert literature references].

    2.1K01编辑于 2025-03-06
  • 来自专栏计算机视觉战队

    20年的目标检测大综述(章节1)

    Supervised Object Detection 5 APPLICATIONS 5.1 Pedestrian Detection 5.1.1 Difficulties and Challenges 5.1.2 Literature Review 5.2 Face Detection 5.2.1 Difficulties and Challenges 5.2.2 Literature review 5.3 Text Detection 5.3.1 Difficulties and Challenges 5.3.2 Literature Review 5.4 Traffic Sign and Traffic Light Detection 5.4.1 Difficulties and Challenges 5.4.2 Literature Review 5.5 Remote Sensing Target Detection 5.5.1 Difficulties and Challenges 5.5.2 Literature Review 6 CONCLUSION AND FUTURE DIRECTIONS ?

    65830发布于 2020-03-04
  • 来自专栏全栈程序员必看

    python+opencv的图像学基础以及简单的人脸识别

    lI;:,\"^`'. ") print(ascii_char[10]) #读取图片 pic=cv2.imread("E:/Literature/material/121398.jpg") print( 3.1显示图片 import cv2 #绝对路径 img=cv2.imread('E:/Literature/material/personal/12.png') #相对路径 cv2.imread(“. 括号里写等待时间 cv2.waitKey() #释放资源 cv2.destroyAllWindows() 运行结果 3.2改变图像大小和黑白图 import cv2 img=cv2.imread('E:/Literature ",imgresize) cv2.waitKey() cv2.destroyAllWindows() 运行结果 3.3图像剪裁 import cv2 img=cv2.imread('E:/Literature imgqp",imgqp) cv2.waitKey() cv2.destroyAllWindows() 运行结果 四、简单的人脸识别 import cv2 img=cv2.imread('E:/Literature

    93240发布于 2021-10-08
  • 来自专栏Albert陈凯

    2023-04-07 使用ChatGPT来完成作业选题

    A review of related literature is an essential part of any research proposal. An individual review of related literature research proposal is a document that summarizes this exploration Literature review: This section presents a critical analysis of the existing literature related to the the significance of the proposed research in addressing the gaps in the existing literature. Literature Review A.

    60130编辑于 2023-04-08
  • 来自专栏科研猫

    12句话搞定Discussion

    01 Providing background information- reference to literature 提供背景信息,关联已有文献 1Several reports have shown that … 2As mentioned in the literature review, … 3Prior studies that have noted the importance of … 4Very little was found in the literature on the question of … 5Previous studies evaluating X observed inconsistent results on whether … 6A strong relationship between X and Y has been reported in the literature . 7In reviewing the literature, no data was found on the association between X and Y. 02 Providing background

    91330发布于 2019-11-14
  • 来自专栏机器学习炼丹术

    小白写论文 | 技术性论文结构剖析

    文章目录: 1 introduction 1.1 Aims and Objectives 1.2 Background and Literature Survey 2 Background Theories 1.2 Background and Literature Survey It gives an overall picture about the work with a clear review of the relevant literature.The background of the project should be given. coherent; the key issues are summarised; key and relevantreferences are used critically analysed and the literature

    68520发布于 2020-08-13
  • 来自专栏机器学习/数据可视化

    sqlzoo练习4

    先通过子查询选择出两个学科的年份,然后排除掉这些年份 Select the code which shows the years when a Medicine award was given but no Peace or Literature distinct yr from nobel where subject = 'Medicine' and yr not in (select yr from nobel where subject='Literature

    52810发布于 2021-03-02
  • 来自专栏全栈程序员必看

    BeanUtils.copyProperties 详解

    传统的方式是使用类似下面的语句对属性逐个赋值: Person p = new Person(); p.setName("Ensk"); p.setAge(18); p.setGender(1); p.setMajor("Literature 代码就大大改观了,如下所示: Person p = new Person(); p.setName("Ensk"); p.setAge(18); p.setGender(1); p.setMajor("Literature

    59110编辑于 2022-11-09
  • 来自专栏AI SPPECH

    AI-Scientist Edu:2025年AI科研教育的革命性突破

    ) def generate_literature_review(self, topic, papers=None): # 生成文献综述 if papers is None: papers = self.literature_assistant.search(topic, {"limit": 50}) return self.literature_assistant.generate_review(topic, papers) 3.1.3 虚拟科研环境层 虚拟科研环境层负责提供虚拟科研环境和设备。 生成文献综述 # literature_review = aiscientist.generate_literature_review(selected_topic["title"]) # print( # print(f"引用文献数量:{literature_review['citation_count']}") # print(f"综述摘要:{literature_review['abstract'

    20910编辑于 2026-01-01
  • 来自专栏NLP/KG

    语义检索系统:基于无监督预训练语义索引召回:SimCSE、Diffcse

    unzip -d /home/aistudio/literature_search_data /home/aistudio/data/data225060/literature_search_data.zip ', num_rows=5) show_data('/home/aistudio/literature_search_data/recall/train.csv', num_rows=5) show_data ('/home/aistudio/literature_search_data/recall/dev.csv', num_rows=5) # show_data('/home/aistudio/literature_search_data /recall/corpus.csv', num_rows=5) # show_data('/home/aistudio/literature_search_data/recall/test.csv', /recall/dev.csv', '--corpus_file', '/home/aistudio/literature_search_data/recall/corpus.csv'] LAUNCH

    1.5K00编辑于 2023-08-02
  • 来自专栏python库介绍

    Python库介绍15 DataFrame

    np.random.uniform(0,150,size=(5,3)).astype('int32')line=['ZhangSan','LiSi','WangWu','ZhaoLiu','SunQi']columns=['Literature np.random.randint(0,150,size=5)b= np.random.randint(0,150,size=5)c= np.random.randint(0,150,size=5)data={'Literature

    53510编辑于 2024-05-15
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