sql: 生日赠品中的相关算法
---2013年10月9日生日,就以2012年9月1日至2013年8月31日計算 (因為係生日月份前兩個月之最後一天為結算日)DECLARE @birthday datetime,@now datetime,@stat datetime,@end datetime,@statbirthday datetime,@endbirthday datetime,@thirdbirthday datetime,
---2013年10月9日生日,,就以2012年9月1日至2013年8月31日計算 (因為係生日月份前兩個月之最後一天為結算日) DECLARE @birthday datetime,@now datetime,@stat datetime,@end datetime,@statbirthday datetime,@endbirthday datetime,@thirdbirthday datetime,@firthbirthday datetime, @year int,@month int , @day int,@str varchar(20),@total decimal set @now=getdate() set @year=Year(getdate()) set @birthday='1992-10-14' set @month=month(@birthday) set @day=day(@birthday) set @str=cast(@year as varchar(4))+'-'+cast(@month as varchar(2))+'-'+cast(@day as varchar(2)) set @birthday=cast(@str as datetime) --會員生日有效生首日起至3個月內有效 set @firthbirthday=DATEADD(mm, DATEDIFF(mm,0,@birthday), 0) --当月的第一天 set @thirdbirthday=DATEADD(ms,-3,DATEADD(mm, DATEDIFF(m,0,getdate())+3, 0)) --上三个月最后的一天 set @statbirthday=DATEADD(mm, DATEDIFF(mm,0,@birthday)-13, 0) set @endbirthday=DATEADD(ms,-3,DATEADD(mm, DATEDIFF(m,0,@birthday)-1, 0)) select @statbirthday,@endbirthday,@firthbirthday,@thirdbirthday SELECT @total=ISNULL(SUM(amount),0) FROM View_birthdayVipdlyList WHERE indate>@statbirthday AND indate

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Written above & the author’s personal understanding: At present, in the entire autonomous driving system, the perception module plays a vital role. The autonomous vehicle driving on the road can only obtain accurate perception results through the perception module. The downstream regulation and control module in the autonomous driving system makes timely and correct judgments and behavioral decisions. Currently, cars with autonomous driving functions are usually equipped with a variety of data information sensors including surround-view camera sensors, lidar sensors, and millimeter-wave radar sensors to collect information in different modalities to achieve accurate perception tasks. The BEV perception algorithm based on pure vision is favored by the industry because of its low hardware cost and easy deployment, and its output results can be easily applied to various downstream tasks.

Love and Deep Space has confirmed that it will be updated on March 1st to launch Qi Yu’s birthday theme event. Players can participate in the event to experience the exclusive birthday celebration plot. In addition, there are birthday-limited thoughts, daily clothing, 20 deep space wishing coupons and other rewards waiting for you. Continue Come down and follow the editor to see the details of this event. Qi Yu’s birthday theme event of Love and Deep Space is about to start: experience the exclusive birthday plot. Participate in the event and experience the exclusive birthday plot. There are also colorful rewards such as birthday-limited thoughts, daily clothing, and "Deep Space Wishing Vouchers·Limited Time*20" waiting for you! Event time: After the update on March 1st ~ 4:59 am on March 8th Exclusive Hug: Birthday five-star miss limited time UP wishing event During the limited-time five-star miss "Qi Yu·Adventures in this Life" wishing probability is greatly increased for a limited time. *After the event, this photo

The Lost Purchasing Office is confirmed to be updated at 11 am on February 28th. Players can go to Taobao to search the Purchasing Office and select the store category to purchase. This time we bring you the MBCC birthday party series and 2024 Desk Calendar peripherals. Come together. Take a look at the product details this time. No Period Lost Purchasing Office: New calendar and birthday series peripherals! There is something new in the Lost Procurement Office! - Pre-sale time: February 28, 2024 11:00 - March 13, 2024 23:59 Purchase address: Taobao search [Unexpected Lost Purchasing Office] Select [Store] category to enter the store for purchase; peripheral introduction: The new peripherals released this time are MBCC birthday party series and 2024 desk calendar peripherals. Please click on the long image for details. The Purchasing Office introduces new peripherals—MBCC students

Common challenges faced by machine learning algorithms in C++ include memory management, multi-threading, performance optimization, and maintainability. Solutions include using smart pointers, modern threading libraries, SIMD instructions and third-party libraries, as well as following coding style guidelines and using automation tools. Practical cases show how to use the Eigen library to implement linear regression algorithms, effectively manage memory and use high-performance matrix operations.

The bottom layer of the C++sort function uses merge sort, its complexity is O(nlogn), and provides different sorting algorithm choices, including quick sort, heap sort and stable sort.

01 Outlook Summary Currently, it is difficult to achieve an appropriate balance between detection efficiency and detection results. We have developed an enhanced YOLOv5 algorithm for target detection in high-resolution optical remote sensing images, using multi-layer feature pyramids, multi-detection head strategies and hybrid attention modules to improve the effect of the target detection network in optical remote sensing images. According to the SIMD data set, the mAP of the new algorithm is 2.2% better than YOLOv5 and 8.48% better than YOLOX, achieving a better balance between detection results and speed. 02 Background & Motivation With the rapid development of remote sensing technology, high-resolution optical remote sensing images have been used to describe many objects on the earth’s surface, including aircraft, cars, buildings, etc. Object detection in the interpretation of remote sensing images

The convergence of artificial intelligence (AI) and law enforcement opens up new possibilities for crime prevention and detection. The predictive capabilities of artificial intelligence are widely used in systems such as CrimeGPT (Crime Prediction Technology) to predict criminal activities. This article explores the potential of artificial intelligence in crime prediction, its current applications, the challenges it faces, and the possible ethical implications of the technology. Artificial Intelligence and Crime Prediction: The Basics CrimeGPT uses machine learning algorithms to analyze large data sets, identifying patterns that can predict where and when crimes are likely to occur. These data sets include historical crime statistics, demographic information, economic indicators, weather patterns, and more. By identifying trends that human analysts might miss, artificial intelligence can empower law enforcement agencies

1. Background of the Construction of 58 Portraits Platform First of all, I would like to share with you the background of the construction of the 58 Portrait Platform. 1. The traditional thinking of the traditional profiling platform is no longer enough. Building a user profiling platform relies on data warehouse modeling capabilities to integrate data from multiple business lines to build accurate user portraits; it also requires data mining to understand user behavior, interests and needs, and provide algorithms. side capabilities; finally, it also needs to have data platform capabilities to efficiently store, query and share user profile data and provide profile services. The main difference between a self-built business profiling platform and a middle-office profiling platform is that the self-built profiling platform serves a single business line and can be customized on demand; the mid-office platform serves multiple business lines, has complex modeling, and provides more general capabilities. 2.58 User portraits of the background of Zhongtai portrait construction
