With the removal of barriers time and distance, E-learning platforms have attracted millions learners, but these are experiencing a significant drop-out ratio. One primary reasons for this problem is lack motivation among learners because similar learning experience provided to them despite their varying styles. Different researchers introduced gamification as solution students’ engagement. The technique has improved engagement levels bit, it not useful was expected be. problems with...

In the era of smart devices and connected neighborhoods, ubiquitous monitoring care patients are possible with Internet Medical Things (IoMT). Smart healthcare may serve their purpose well when they able to share patient's data each other. However, formats vary widely across vendors, rendering these not interoperable. Recent solutions mostly rely on cloud services where a source device uploads data, sink download it conforming own native formats. quality service is expected deteriorate in...

With advancements in educational technologies, e-learning platforms have evolved to provide learning environments the privileged and under-privileged population so that they can learn at their own pace. The success of these systems relies on engaging experience timely accurate feedback students performance. Still, suffer from high student dropouts, often due a lack personalization interactions. While show different collaborative behavior, i.e., some are social, like discussions, while others...

A decentralized power grid is a modern system that implements demand response without requiring major infrastructure changes. In decentralization, the consumers regulate their electricity autonomously based on frequency. With cheap equipment (i.e., smart meters), frequency can be easily measured anywhere. Electrical grids need to stable balance supply and ensure economically dynamically viable operation. The volumes of consumed/produced (p) by each participant, cost-sensitivity (g),...

Democratization is an important phenomenon in the contemporary world. An feature of modern representative democracy emergence political parties, as these are regarded indispensable for successful working democratic institutions. Democracy needs sound and parties. Democratic parties ensure every polity. Political considered lifeline critically significant a system. Internal plays role democratization institutionalization The IPD broader term simply defined “Rule by party members”. must adopt...

Abstract In Ethereum blockchain, whenever a transaction of smart contract is executed, fee charged in terms Ethers. To calculate the fee, computational unit, gas introduced contracts. Gas consumption calculated against source code execution. The initiator sets price per unit and total limit. If limit sufficient, will be mined otherwise it reverted. Smart contracts can written any high‐level language such as Solidity, Vyper, Python, Java so forth, but Solidity massively used for creation....

Sports analytics utilizes data analysis techniques and computational methods to gain insights, make informed decisions, facilitate improvements in the performance of individuals teams. Cricket is one most popular games continues evolve worldwide. The availability ball-by-ball demands in-depth investigation player strategies, team dynamics, impact contextual variables. Existing studies explored various aspects cricket analytics, including detecting key events, predicting outcomes, ranking...

The solution of a typical programming task involves algorithmic thinking, pattern recognition, decomposition and abstraction skills. These skills are basic pillars Computational thinking (CT) essential for computer programmer. Therefore, it is teacher to take these into account evaluation students. Existing methods improving competency don't consider Thinking students perform grading without taking account. Due this limitation, deficiencies in remain unrevealed, posing difficulties educators...

The advancements in Edge computing have paved the way for deep learning real-time systems. One of beneficiaries is an adaptive traffic control system that responds to observations by governing signal phase and timings. Reinforcement Learning (RL) extensively utilized literature order decrease congestion a road network. However, most previous works leverage centralized cloud-based RL due computational complexity underlying neural networks (DNN). Therefore, persistent challenge towards...

Learning trend has been shifted from a conventional way to digital in the form of E-learning, but it faces high dropout ratio. Lack engagement is one primary factors reported for this issue as same type course content presented learners despite their different background, knowledge and learning styles. Different researchers used adaptive techniques increase students' performance engagement, not affected too much reducing One major problems with these focus on thing. To target we have...

In this paper, we use the natural decomposition method (NDM) for solving inviscid Burger equation (BE). The NDM is associated with Adomain (ADM) and transform method. Applying analytic method, solved successfully both lin-ear non-linear partial differential equations. By applying NDM, compute best approximation solution of linear par-tial our experiments, report comparisons exact solution.

Background: Cervical cancer is a highly significant cause of mortality in developing countries, and it one the most prominent forms worldwide. Machine learning techniques have been proven more accurate for identification cervical as compared to manual screening methods like Pap smear Liquid Cytology Based (LCB) tests. Objective: Primarily, these machine-learning use images cervix risk analysis; this article, demographic data medical records patients are used identify major causes cancer....

In computational linguistics, sentiment analysis refers to the classification of opinions in a positive class or negative class. There exist lot different methods for English language, but literature lacks availability and techniques Urdu, which is largely spoken language South Asian sub-continent national Pakistan. The currently available techniques, such as adjective count method known Bag Words (BoW), not sufficient complex written Urdu language. Also, performance machine-learning (with...

Sentiment analysis in research involves the processing and of sentiments from textual data. The sentiment for high resource languages such as English French has been carried out effectively past. However, its applications are comparatively few resource-poor due to a lack resources. This systematic literature explores different aspects Urdu-based analysis, classic case poor language. While Urdu is South Asian language understood by one hundred sixty-nine million people across planet. There...

Virtual clinical trials (VCTs) represent an alternative assessment paradigm that overcomes issues of dose, high cost and delay encountered in conventional for breast cancer screening. However, to fully utilize the potential benefits VCTs requires a machine-based observer can rapidly realistically process large numbers experimental conditions. To address this, Deep Learning Model Observer (DLMO) was developed trained identify lesion targets from normal tissue small (200 x 200 pixel) image...

Automatic identification and classification of different plant leaf species have become a common trend among researchers scientists. To obtain result with better precision, they use various methods techniques deep learning to build model. Convolutional neural networks are becoming the most method used by scientists classify leaves. However, leaves can be challenging more rare complicated backgrounds, for which several models achieve high-level accuracy. In present study leaves, we created...

In the current age, social media is commonly used and shares enormous data. However, a huge amount of data makes it difficult to deal with. It requires lot storage processing time. The content produced by needs be stored efficiently using mining methods for providing suitable recommendations. goal study perform systematic literature review (SLR) which finds, analyzes, evaluates studies that relate mining-based recommendation systems networks (DRSN) from 2011 2021 open up path scientific...

Every software in the universe requires maintenance and management during its life cycle. The manual of is costly sometimes error-prone. other solution autonomic computing that induces self-management capabilities, “self-*services”, systems with help managers. design quality a capability affects infrastructure regarding processing load, memory requirement, data channel demand performance perturbation restore. It critical to assess determine effect over when it gets invoke against some...