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Analytics platforms like Google Analytics provide quantitative user data across devices and platforms by tracking metrics like sessions and bounce rates in reports to understand website usage. Google Analytics also collects event-based data from websites and apps to analyze user behavior, and integrates with other Google tools to combine all marketing data in a single location.
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ethernet nn
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- Fast Ethernet (802.3u) was developed to transmit data 10 times faster than standard Ethernet at 100 Mbps, while still being backward compatible.
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search_sort.ppt
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kpi
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filler structures.pptx
Weak slot and filler structures are knowledge representation structures that organize objects into classes with attributes and values. They allow for property inheritance along "isa" and "instance" links. Semantic nets represent information as nodes connected by labeled arcs, where nodes are objects/attribute values and arcs are relationships. Frames represent entities as collections of slots (attributes) and associated values (fillers). Frames, semantic nets, and slot-filler structures allow knowledge to be organized and property inheritance to be performed, supporting reasoning.
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ethernet nn
- Ethernet was first created by Robert Metcalfe and standardized by IEEE as 802.3. It uses Manchester encoding and CSMA/CD.
- Fast Ethernet (802.3u) was developed to transmit data 10 times faster than standard Ethernet at 100 Mbps, while still being backward compatible.
- Gigabit Ethernet (802.3z) further increased the data rate to 1000 Mbps and supports both full-duplex and half-duplex modes using switches and hubs.
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search_sort.ppt
Linear search is a sequential search algorithm that checks each element of an array until the target element is found. It has a worst-case time complexity of O(n) where n is the number of elements. Binary search is a divide and conquer algorithm that compares the target to the middle element of a sorted array, eliminating half of the remaining elements with each comparison. It has a time complexity of O(log n). Common sorting algorithms like bubble sort, insertion sort, and selection sort have a time complexity of O(n^2) as they may require up to n^2 comparisons in the worst case.
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data collection.ppt
The document discusses various strategies and tools for collecting data in evaluations. It describes both quantitative and qualitative approaches, and notes that the best approach depends on factors like the information needed, resources available, and complexity of the data. It provides guidelines for collecting data and discusses the advantages and challenges of various tools, including surveys, interviews, focus groups, observation, diaries, expert judgment, and more. The goal is to choose appropriate and multiple methods to ensure accurate and comprehensive data collection.
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- A* search uses both path cost (g(n)) and heuristic estimate of distance to goal (h(n)) to calculate the total cost (f(n)) of expanding each node.
- It maintains OPEN and CLOSED lists to track explored and unexplored nodes. The lowest f(n) node in OPEN is selected for expansion at each step.
- Expansion may cause nodes already in CLOSED to be moved back to OPEN if a lower cost path to that node is
filler structures.pptx
Weak slot and filler structures are knowledge representation structures that organize objects into classes with attributes and values. They allow for property inheritance along "isa" and "instance" links. Semantic nets represent information as nodes connected by labeled arcs, where nodes are objects/attribute values and arcs are relationships. Frames represent entities as collections of slots (attributes) and associated values (fillers). Frames, semantic nets, and slot-filler structures allow knowledge to be organized and property inheritance to be performed, supporting reasoning.
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The document discusses the entity-relationship (E-R) model for conceptual database design. It describes how a database can be modeled as a collection of entities and relationships between entities. Entity sets contain entities of the same type, and relationship sets define associations among entity sets. The document outlines key E-R modeling concepts such as attributes, keys, cardinalities, participation constraints, and weak entities. It also discusses how to represent an E-R design using an E-R diagram.
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1) Large organizations like NASA and CERN are using private clouds to provide resources to thousands of researchers globally in a cost-effective manner. NASA's Nebula cloud allows scientists to run climate models remotely.
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The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
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一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
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1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
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Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
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governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
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1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
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3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
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Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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analytics platform
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