Search or ask a question

How do i get more plagarism checks?

Robustness (evolution)

Process (computing)

Plagiarism detection

Best insight from top research papers

To enhance plagiarism checks, one can utilize automated systems for detecting plagiarism in student submissions . These systems are becoming more prevalent and can efficiently identify similarities in free-text submissions . Additionally, implementing a metrics-based monitoring system can help track program similarities and gather evidence necessary to address suspected plagiarism cases . By incorporating these tools and methodologies, educational institutions can create a climate where plagiarism is openly discussed, fostering academic integrity and deterring dishonest practices . Furthermore, leveraging services like CrossCheck, which screen manuscripts for plagiarism using advanced software, can ensure the publication of high-quality papers and protect authorship in academic research .

Answers from top 5 papers

PDF

Open Access

More filters

Papers (5)	Insight
Journal Article•DOI Towards an error free plagarism detection process LancasterThomas, CulwinFintan - Show less +1 more 25 Jun 2001-ACM Sigcse Bulletin 1 Citations	The Four-Stage Plagiarism Detection Process, utilizing VAST, helps tutors easily find all student plagiarism, ensuring error-free detection and more checks.
Proceedings Article•DOI Towards an error free plagarism detection process Thomas Lancaster, Fintan Culwin - Show less +1 more 25 Jun 2001 24 Citations	The Four-Stage Plagiarism Detection Process described in the paper ensures thorough plagiarism checks to avoid missed pairs and false hits, providing an error-free detection process.
Open access•Journal Article•DOI Plagiarism checking - a new tool towards better science Alcimar Barbosa Soares 01 Sep 2015-Research on Biomedical Engineering	To get more plagiarism checks, utilize services like CrossCheck by CrossRef with iThenticate software, as mentioned in the paper "Plagiarism checking - a new tool towards better science."
Open access•Journal Article•DOI Metrics based plagarism monitoring Edward L. Jones 20 Apr 2001-Journal of Computing Sciences in Colleges 33 Citations	The paper proposes a metrics-based system for monitoring program similarities to detect plagiarism, providing a method to increase plagiarism checks effectively in programming courses.
Journal Article•DOI Robustness Checks in Structural Analysis Sylvain Catherine, Mehran Ebrahimian, David Sraer, David Thesmar - Show less +3 more 01 Sep 2022-Social Science Research Network	Not addressed in the paper.

My columns

Related Questions

How to do plagiarism check?4 answersTo conduct a plagiarism check effectively, one can utilize various methods and technologies outlined in the provided research contexts. One approach involves using an integrated viewer system that allows users to easily identify plagiarism by comparing original and converted electronic documents on a single screen. Another method involves calculating partial similarities between documents based on free word order languages like Hangul or Japanese, and determining plagiarism levels by considering both preliminary and in-depth similarities. Additionally, blockchain technology can be employed to detect plagiarism in non-fungible token (NFT) images using deep learning models like EfficientNet-B0 with triplet semi-hard loss function, which outperforms other traditional models. These techniques offer efficient ways to detect plagiarism in various types of documents and digital assets.

How to check plagragism?4 answersTo check plagiarism, one can utilize tools like iThenticate CrossCheck, which compares submitted manuscripts against a vast database of academic literature to identify similarities. Additionally, implementing a double collation system that checks both the actual content and images of a commodity can ensure accuracy in detecting any discrepancies or similarities. In the realm of computer programs, a vulnerability check program can be employed to trace the processing flow of a program, manage information concerning variables, and determine vulnerabilities based on specific rules, ultimately alerting users to any detected issues. Moreover, for substrate checks, a device can be used that connects probes to a welding pad on a substrate, allowing for the identification of any probe in an adverse status based on the signals received.

What are some tools to check for plagiarism in an essay for free?4 answersThere are several tools available for checking plagiarism in an essay for free. One method is to use Google's "exact word or phrase" search, where the user can copy a portion of text and search it on Google with the text in quotes. This allows Google to search for the exact words and phrases in the exact order. Another option is CrossCheck, which is widely used for texts in English. AMLC (Academic Manuscript Literature Checking) from CNKI is another tool that is mainly used for texts in Chinese. Ferret and Sherlock are two free/open source tools that can be used for detecting plagiarism. Turnitin is a commercial web-based software that can also be used for plagiarism detection. Additionally, there are online paraphrasing tools and language translation tools that can be used to test the outputs of these tools.

How effective are plagiarism checkers in detecting plagiarism?4 answersPlagiarism checkers have been used in various studies to detect plagiarism in academic papers. One study found that around 22.8% of submitted papers contained unreasonable levels of copying or self-plagiarism. Another study used Apache Lucene to detect plagiarism by comparing the plagiarized document with a set of previously saved documents using cosine similarity. A different approach involved calculating numerical values for each sentence in a document and comparing them to values determined for archive documents. However, it is important to note that software alone may not always catch recycled text, and careful reading by academics and editors is still necessary. To address the need for an effective and feasible approach, a text mining method using Term Frequency-Inverse Document Frequency (TFIDF) and Latent Semantic Indexing (LSI) was proposed to semantically find plagiarism in research papers.

Can you check plagiarism?5 answersYes, plagiarism can be checked using various methods. One method described in the abstracts is to use Google's "exact word or phrase" search. By copying a portion of text and searching it on Google with the text in quotes, the search results will show if the exact sentence has been used elsewhere. Another approach is to use a copy detection mechanism that compares a potential plagiarized document against a repository of original documents. This method eliminates unnecessary comparisons by focusing on documents addressing similar subjects. Additionally, there are devices and systems available that use integrated viewers to conveniently distinguish between plagiarism and non-plagiarism parts of a document. These systems allow users to easily identify plagiarized content in one screen. Overall, there are multiple methods and tools available for checking plagiarism, each with its own advantages and limitations.

Can you check me paper?3 answersThe papers provided do not directly address the question of checking a paper.

See what other people are reading

What is the important of theory in community development works?

Theory plays a crucial role in guiding community development works by providing a framework for understanding complex social dynamics and facilitating effective practices. Various development theories, such as modernization theory and participatory theatre theories, inform community development practices and help in achieving successful project implementations. Postmodernism and critical theories are also essential in academia and community development scholarship, emphasizing the importance of cultural capital and critical evaluation of approaches in community development work. The absence of a proper scientific theory in community development has been highlighted, with the proposal of the basic needs theory to address this gap and enable the identification and prioritization of community needs for sustainable development outcomes. Ultimately, theory serves as a guiding light in navigating the complexities of community development processes and ensuring impactful outcomes.Benchmarking BIM for malaysia future developments ?

Benchmarking BIM for future developments in Malaysia involves assessing its current implementation and addressing challenges to enhance its utilization. Studies highlight that BIM offers benefits like cost and time reduction, improved collaboration, and better project quality. However, challenges persist, such as high costs for SMEs, limited implementation, and the need for more efforts to fully leverage BIM benefits. Malaysian Quantity Surveyors show moderate knowledge of BIM but low implementation levels, mainly using BIM tools for cost estimation only. To benchmark BIM development, addressing challenges like cost issues, enhancing awareness, and promoting wider adoption among construction professionals, especially SMEs and Quantity Surveyors, is crucial for Malaysia's future construction industry advancements.How to test reliability of microgrid system?

To test the reliability of a microgrid system, a comprehensive approach is essential. One way is to develop a reliability-based optimal scheduling model that considers various factors like system configuration, generation/load profiles, and the impact of energy storage systems (ESSs). Additionally, a probabilistic risk framework can be employed to simultaneously evaluate stability and reliability, integrating long-timescale reliability events and treating stability as probabilistic events. Furthermore, assessing the impact of renewable resources' variation on component failure rates is crucial for evaluating microgrid reliability accurately, which involves considering factors like wind speed, tidal current speed, and solar radiation. By combining these methodologies, one can effectively test and enhance the reliability of microgrid systems.What is Talent Management? Definition, Strategy, Process and Models?

Talent management is a strategic approach that focuses on attracting, identifying, developing, engaging, retaining, and deploying individuals who are particularly valuable to an organization. It involves recognizing talent as a unique ability comprising skills, adaptability, and acquiescence, which are crucial for organizational success. Effective talent management strategies aim to align with business goals and strategic objectives, nurturing employees' potential and investing in their development to create a positive work culture fostering innovation, creativity, and adaptability. This process includes talent acquisition, appraisal systems, competency identification, and potential forecasting to ensure the right talent is in the right place within the organization. By implementing talent management models, organizations can enhance job satisfaction, employee engagement, and productivity, ultimately achieving sustainable success through a skilled and motivated workforce.What are outcome needed from talent development model?

The outcomes needed from a talent development model span across various dimensions, reflecting the multifaceted nature of talent cultivation and its impact on individuals and organizations. Firstly, a talent development model should aim to identify predictors and indicators of talent, providing a multidimensional and dynamic view of talent development, as seen in the TAD music model which emphasizes cognitive abilities, personality traits, and psychosocial skills. It should also improve the orientation of talent training, adapting to new societal requirements and enhancing the acceptance and effectiveness of training models among students and teachers, as demonstrated by the improved evaluation scores in music education. Moreover, the model should incorporate predictive analytics to forecast talent retention, thereby aiding organizations in making informed hiring decisions and optimizing resource investment in talent development. It's crucial for the model to foster an inclusive educational environment that supports all students, particularly those from disadvantaged backgrounds, leading to improvements in school climate, student attendance, and promotion rates. Additionally, the model should facilitate the identification of gifted and talented students and promote tools for their development, addressing the needs of these students through comprehensive and integrated approaches. The Talent Development model should also redirect the traditional function of schooling towards maximizing every child's potential for academic development, ensuring that all students can learn in demanding, high-expectation settings. It's important for the model to support the specific and evolving nature of talent, providing assessment and intervention strategies that sustain talent development. Furthermore, the model should employ evidence-based strategies to promote academic achievement and social competence, particularly among minority and low-income students. Lastly, it should contribute to the reform of secondary education in urban settings, aligning with recent commitments from educators and policymakers.How does technology impacts students learning?

Technology has a significant impact on students' learning outcomes and engagement. While technology can enhance efficiency, effectiveness, and content enrichment in learning, it also poses challenges like distractions, health impacts, and dependence. Positive effects include improved academic achievement, knowledge retention, critical thinking skills, increased student engagement, motivation, and teacher-student interactions. Technology enables remote learning, collaboration, personalized learning, and expanded access to education. However, issues like hardware failures, software incompatibilities, and dishonest behavior due to technology misuse exist. Proper management of technology integration, balanced digital skills development, and keeping learning outcomes as a priority in course design are crucial for optimizing technology's role in promoting effective learning experiences.What is emphatize in design thinking and what is the objective?

Empathize in design thinking is a crucial stage that focuses on understanding human needs and experiences. It involves putting oneself in the shoes of the users to gain insights into their perspectives, emotions, and challenges. The objective of empathizing is to gather deep insights that will inform the design process and ensure that the final product or service truly meets the users' needs and expectations. By empathizing, designers can develop a profound understanding of the problem at hand and create solutions that are truly user-centered. This empathetic approach distinguishes design thinking from other problem-solving methods by prioritizing human experiences and needs throughout the design process.How to select sample size?

Selecting the appropriate sample size is crucial for the success of a study. Various factors such as statistical power, precision, and practical considerations influence sample size determination. For instance, in Resource-Selection Analyses (RSAs), the sufficiency of sample size is critical, with specific thresholds for the number of animals and relocations per animal being essential for accurate model outputs. Repeated measures designs require careful consideration of inputs to determine sample size, especially for detecting within-person change over time. When evaluating treatment selection biomarkers, sample size estimation methods are essential for guiding therapy choices, whether in prospective clinical trials or retrospective studies. Overall, selecting the right sample size involves balancing various factors to ensure the study's objectives are met effectively.How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan?

Artificial Intelligence (AI) technology positively impacts productivity and employment at the firm level. Studies from Taiwan, Germany, and other OECD countries reveal that AI adoption enhances productivity. The introduction of AI technologies leads to increased total factor productivity, skill-biased enhancement, and technology upgrading effects, fostering economic sustainability. Job reorganization, rather than displacement, is prevalent due to AI, improving job quality by reducing tedium and enhancing worker engagement. Furthermore, the adoption of AI technologies alters workforce compositions, emphasizing the need for policies to ensure that AI benefits all workers. Firm-level data collection is crucial for understanding how AI complements or substitutes labor, impacts firms of different sizes, and influences regional economies.What is self directed learning?

Self-directed learning (SDL) is an educational approach where learners take charge of their learning process, making decisions on what, how, where, and when to learn. It involves learners diagnosing their learning gaps, setting goals, choosing resources, implementing learning strategies, and evaluating outcomes. SDL is crucial in promoting student readiness for learning, skill development, and professional practice, especially in fields like nursing. In education, SDL has been found to be more effective than traditional teacher-guided learning, as it allows learners to select tasks and materials independently. The concept of SDL emphasizes flexibility, creativity, and learner autonomy, encouraging lifelong learning and skill enhancement.How does the integration of technology in classrooms impact student engagement and learning outcomes?

The integration of technology in classrooms has a significant impact on student engagement and learning outcomes. Research indicates that technology integration enhances classroom collaboration, making teaching and learning more efficient. Studies show a positive correlation between classroom technology integration and student engagement and motivation, leading to improved learning outcomes. However, it is crucial to recognize that technology alone does not guarantee desired outcomes; the interaction between humans and technology plays a vital role in shaping learning effectiveness. Properly designed technology tools can provide students with a passport to digital development, enhancing the quality of learning within schools and promoting self-direction and development among digital teachers and students. Overall, technology-based education positively impacts student learning outcomes, academic achievement, knowledge retention, critical thinking skills, and teacher-student interactions, ultimately improving the quality and effectiveness of education.