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Actually, I am working these field. Sometimes I don't understand what should I do. If anyone supervise me, I will be thankful.
I have a dataset of rice leaf for training and testing in machine learning. Here is the link: https://data.mendeley.com/datasets/znsxdctwtt/1
I want to develop my project with these techniques;
  1. RGB Image Acquisition & Preprocessing (HSV Conversation, Thresholding and Masking)
  2. Image Segmentation(GLCM matrices, Wavelets(DWT))
  3. Classifications (SVM, CNN ,KNN, Random Forest)
  4. Results with Matlab Codings.
  • But I have a confusion for final scores for confusion matrices. So I need any technique to check which extraction method is good for dataset.
  • My main target is detection normal and abnormal(disease) leaf with labels.
Attached image is collected from a paper.
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Sure, I'd be happy to provide you with guidelines for your Matlab project. Please reach out to me via email at erickkirui@kabarak.ac.ke, and I will promptly assist you with the necessary guidance for your project
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I am sharing with you a list of articles that I normally use when supervising my master (and bachelor but mainly master) students. I hope you will find them useful, and I welcome your feedback (i) in order to improve them, (ii) to have new ideas and (iii) anything else that you would like to share.
I tried to keep these articles fairly general, but my perspective come from supervising students in Computer Science/Engineering, Data Science, Information Management and Software Engineering. Therefore, apologies if they may sound alien to your discipline, however, if that is the case please let me know. Over the years they have grown in quantity, and I categorized them in 2 groups:
  • How to do a better thesis: articles that clarify various aspects of the development of a (master) thesis. Proposal development, ideas, related work, methodology, writing etc...
  • How to become a better programmer: articles that helps a person familiar with scripting programming (basic python for example) understanding the basic of object-oriented programming and how professional tools (like SDK) woks. Again, the specific focus is improving the quality of the code that a master student needs to write. Probably if you are following a hard-core programming master these articles will be fairly simple.
What follows are the one of the “better thesis” section:
Attitude mindset and lifestyle
  1. Take a moment to reflect to right approach for the challenge ahead. https://francescolelli.info/thesis/the-right-attitude-for-your-thesis-preparing-yourself-for-the-challenge/
  2. Mens sana in corpore sano: Take care of yourself, in particular do not neglect of your physical health https://francescolelli.info/thesis/simple-rules-for-taking-care-of-yourself-during-before-and-after-your-thesis/
How to do a good thesis: before you start.
  1. Start from considering these tips for improving the quality of your proposal. They will help you in understanding how to think scientifically including if you do not have to write a research proposal. https://francescolelli.info/thesis/how-to-write-a-thesis-proposal-or-a-research-proposal-a-few-tips/
  2. Check if you are aware of all the players around you thesis and what is their interest https://francescolelli.info/thesis/the-players-around-your-thesis-who-is-going-to-help-you/
  3. Understand how adopting good scientific practices can improve your grade. https://francescolelli.info/thesis/adopting-good-scientific-practices-increases-your-visibility-and-the-grade-of-your-thesis/
How to do a good thesis: the openings moves.
  1. Ask yourself what you want to do when you will “grow up”. This article will help you understanding how you can take the most from your thesis for your future goals. https://francescolelli.info/thesis/take-the-most-from-your-thesis/
  2. (Optional) Get a grasp of what kind of mentor I am. It will help you in understanding what I write in these posts and/or if we are compatible in case you are considering pursuing your thesis with me. https://francescolelli.info/thesis/mentor-for-your-thesis/
  3. Set up the proper communication tools with your supervisor, so that you will have a better quality time with him/her. https://francescolelli.info/thesis/setting-up-the-proper-communication-tools-with-your-thesis-supervisor/
A Note on Writing:
  1. Writing a scientific endeavor has its rules and best practices https://francescolelli.info/tutorial/on-scientific-writing-classic-postmodern-and-self-conscious-style/
  2. <work in progress>
How to do a good thesis: literature research and related work
  1. Look at these heuristics for understanding if a paper is worth reading or you should move forward to the next one. https://francescolelli.info/thesis/6-heuristics-for-assessing-the-quality-of-a-publication/
  2. Understand how to select good venues (conferences or journals) where you can search for good publication. https://francescolelli.info/thesis/how-scientific-venues-work-an-heuristic/
  3. Learn how to read a scientific paper faster and more effectively. https://francescolelli.info/thesis/read-scientific-papers-quickly-and-effectively/
  4. Master the right features in MS-Word for handling the related work and managing the growing complexity of the task. https://francescolelli.info/thesis/how-to-use-references-in-word-a-few-tips-and-suggestions-for-your-thesis/
  5. Get more insights about related work, literature review and survey papers. https://francescolelli.info/tutorial/related-work-literature-review-survey-paper-a-collection-of-resources/
How to do a good thesis: the experimental and scientific part
  1. If you feel stuck: get an idea on “how to warm up your research engine” and do your first step. https://francescolelli.info/thesis/warming-up-the-research-engine/
  2. Get some inspiration from the work of other scientist and learn how to properly categorize the literature review. https://francescolelli.info/thesis/how-to-use-the-literature-review-for-your-research
  3. Familiarize with sources that can provide Data for your (master or bachelor) thesis. https://francescolelli.info/thesis/where-to-get-data-a-collection-of-resources-for-your-thesis/
  4. If you plan to write some programming code there are several free resources that can help you. https://francescolelli.info/programming/free-resources-that-will-warm-up-your-programming-environment/
  5. If you plan to write some programming code, get familiar with these best practices. https://francescolelli.info/how-to-be-a-better-programmer-the-mini-guide/
  6. If you plan to use a survey for scientific research you may want to consider these tips and suggestions. https://francescolelli.info/thesis/get-the-basics-on-doing-a-survey-for-scientific-research-purposes/
  7. Do this simple feasibility check if you plan to use an interview approach in your case study research https://francescolelli.info/thesis/should-you-use-a-case-study-for-your-thesis-in-information-management/
  8. <work in progress>
How to do a good thesis: the last mile
  1. Did you produced the first final draft of the thesis? Here you can find a simple set of rules and a checklist that can help you. https://francescolelli.info/thesis/simple-writing-rules-that-can-improve-the-quality-of-your-thesis/
  2. Are you close to finishing the thesis? Put your current draft to a (stress) test. https://francescolelli.info/thesis/the-navigation-test-put-your-thesis-to-a-stress-test/
The End Game
  1. Deal with the submission of your thesis and its defense in the proper way https://francescolelli.info/thesis/commencing-the-end-game-last-minute-issues-and-recommendations/
  2. Understand what is Open Access and how you can make the most of it https://francescolelli.info/thesis/should-you-release-your-thesis-open-access/
  3. Consider the benefit (and the extra work) of publish your thesis. Is it worth it? https://francescolelli.info/thesis/should-i-publish-my-thesis-the-good-the-bad-the-ugly/
  4. Now that your thesis has been submitted is about preparing a killer presentation for the defense! https://francescolelli.info/thesis/the-art-and-the-skill-of-speaking-and-making-a-presentation
The End of the Journey
  1. Publish your thesis using the University Library. It will take less then one hour and will ensure some extra visibility to your work. https://francescolelli.info/thesis/publish-your-thesis-in-your-university-library/
  2. Learn what the future of your thesis could be https://francescolelli.info/thesis/what-will-happen-to-your-thesis-after-your-graduation/
Thanks for taking the time to read such a long discussion! Based on your experience, is there anything missing or that require some improvement? Drop me a line, I will be happy to hear from you
Francesco
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I agree with you when you say that a research should be specifically focused and scientifically sound. I tried to cover these aspects in this article here:
How to do a good thesis: before you start.
  1. Start from considering these tips for improving the quality of your research proposal. They will help you in understanding how to think scientifically including if you do not need to write a research proposal. https://francescolelli.info/thesis/how-to-write-a-thesis-proposal-or-a-research-proposal-a-few-tips/
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I wrote an article entitled [15 Public "I was wrong" admissions by intellectuals & thought leaders] . They range from a health psychologist who realized that 10 years of her work might have been causing more harm than good to a physicist who announced in a stage conference that he made a miscalculation that lead to a false discovery of a planet. Talk about the importance of integrity is ubiquitous but actual case studies of public demonstrations of intellectual honesty are much harder to find. Compiling such cases helps in building and understanding a healthy culture about admitting mistakes in intellectual circles. The feedback I got up till now is quite encouraging.
I’m thinking of turning this project into a PhD or MA (mostly remote). Any supervisors suggestions?
Also, I want to publish it in a major publication like the Huffington Post or the Atlantic (or very relevant niche publications) . If you have any relevant connections or tips, I'd appreciate the help:)
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Acredito que as confissões públicas de erros de todos os profissionais são importantes, inclusive, intelectuais. Mas como historiador é preciso ter cautela. Existem tipos variados de erros, e nem sempre a conjuntura histórica é favorável ao reconhecimento do erro. Tem coisa que numa época é errada e outra não. E não estou falando de relativismo histórico. A escravidão, a submissão das mulheres, a exclusão de deficientes, a discriminação de negros já foram defendidas no passado, noutras conjunturas que depois mudaram. Os parâmetros aplicáveis devem ser bem pensados. É precisa saber se havia no dito momento do erro arsenal teórico para caracterizá-lo como erro ou como um paradigma de época. Nem todo erro implica má-fé. Mas, erros criminosos.
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A postgraduate candidate refers to you and asks to be offered a research topic for his/her thesis. Will you offer a research topic? if yes, why? If no, why?
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Dissertation is a process. The process starts with the first year in which it is important to give a broad understanding of different topics within the specialty and the student can pick 2-3 topics that they find interesting. I usually discuss in detail with the students about a few topics that they like and suggest good sources to perform additional search and identify the questions they cannot find an answer to. in this way, helping their critical thinking skills enables them to identify a research topic which can be discussed and modified according to the research and clinical capabilities in the institute.
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It is expected to select a thesis topic which is relevant to current times yet sustainable for the times to come. However, there are multiple other factors to consider before one can lock-in THE TOPIC to furnish one's thesis on.
Looking forward to hearing your pearls of wisdom and years of experience. Please educate!
Thanking you in advance.
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Topic selection for thesis is one of the major problem of the students. I myself faced this problem.
I took help from my seniors and faculty members for selecting the thesis topic. Candidate's interest plays major role in selecting the thesis topic. However, I would suggest to select a topic which should be related to MDGs and SDGs especially. Addition to this, candidate should search suggested areas for future research in different journals based on the interested area. According to me, the person who selects thesis area, he/she has to take this to whole life and work more on the topic using SWOT analysis technique. So, Select topic wisely based on your interest, scope, future research, government's future plans for the area and how maximum people will get benefit from the researched area.
I hope these things will help you
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I was just wondering to know your opinion, how much support should a supervisor extend to the PhD student? Can you say the name of the support, say,
  1. Helping to develop academic language by developing an argument, scholarly conventions, consistency and style?
  2. To help student set goals and deadline.
And what?
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Hello Fida - The attached paper has some useful insights.
My list would include:
- Get to know your students, respect them, what makes them tick;
- Yes - assistance research design including theoretical framework, research questions and appropriate methodology(ies);
- Reading/lit review suggestions
- Short-term target-setting
- Encouraging
- Prompt, balanced, constructive (but honest) feedback
- Meeting regularly (but negotiated)
- Wider support with academic development e.g. conference attendance; article writing
- Administering the candidature appropriately
- Towards end, quality assuring, constructive feedback on final thesis drafts (can be intensive)
- Appropriate, thoughtful suggestions for external examiners
- Maintaining a respectful post-doctoral relationship.
Peter
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Hi all,
I would like to find out which systems do most researchers use to manage and effectively review their students' outputs (i.e. proposals, chapters and manuscripts). How does one effectively allocate and track your time to different student projects? Regarding reviewing of documents, I know many use "track changes" in Word, some do comments in a PDF viewer, some still prefer a printout and write comments in pencel. Which system is the most effective and used by the majority?
Thanks,
Carel
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I hope You will find your answers here.
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To work
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Dear Osarumwense,
A three year period passes by pretty quickly and so does 1 hour.
But one hour a month can only be effective if it is just meant to focus on issues which were not clear in your previous interactions, otherwise it is woefully inadequate for getting a face-to-face feedback on issues at a deeper level.
A PhD is an original contribution to knowledge, and critical/independent thinking and working are the hallmarks of it. However, in today’s knowledge production, collaboration matters. If your supervisor is a collaborator, then fine. Otherwise the world is full of nice people and you can see the situation as an opportunity to build your own network among peers and other seasoned scholars. But always remember the art of listening selectively because there are bad opinions, too.
If for example you are discussing a paper, it takes a lot more time to dig deeper. Despite that, there are a few tips for maximizing that one hour a month if asking for more time may even jeopardize your relationship with the (supposed busy) supervisor. This is important especially if they are the less friendly type who believes your induction into academia must pass through hell. Of course supervision is different in every discipline and even on the individual level.
Here’s what I think a student can do in such a situation.
(i) Own your research by making sure that your supervisor is only a guide to a forest where the biodiversity keeps changing; neither you nor him has the answers to everything. You are on a journey of discovery.
(ii) Prepare your questions before the meeting.
(iii) If you are writing a paper, it might be a good idea to discuss the crucial aspects such as framing/research question, methods and sources of data with him/her in the beginning. After that hit the road using your own network to get what you want including feedback(s).
(iv) Send him a draft when you have one.
(v) When you have doubts about his comments, send him an email.
(vi) Play this Ping-Pong in a strategic way. Send him/a kind reminder if it is taking forever to respond. Keep records of your interactions.
(vii) The nature of your research will dictate the amount of freedom. If you are working on a project, then you may depend a lot on him to agree or disagree and give instructions. If however you have your research plan approved and you have a lot of freedom, then do your courses as you do your research. Read extensively, experiment creatively with different ideas and ask around. Best wishes!
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I am working on article on victimisation of students by mentors that has resulted in an increase in student drop out.I would like to come up with strategies that institutions of higher education can use to collect non identifying feedback from students affected by mentor attitudes.
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This is a very interesting question but I would like to post back for clarity. How do you envision victimization? Are we discussing H student faculty relationship in which sexual improprieties have occurred, academic improprieties, a hostile environment within the work/academic setting or all of the above? I have seen situations in which students became the pond between rival faculty members and were often caught in the middle before they realized the difficulty of the situation. We stayed in place. I've also seen students and exploited by faculty members for the purpose of, on the part of the faculty member, gaining additional publications primarily off the back of students. We've all seen the unfortunate results of inappropriate faculty student relationships. For some of the students they will take steps to get issues resolved within the University setting. For others, they have often the part of the institution before the real situations of their departure is understood. When I served as chair of academic departments. I tried to maintain an open door policy to assist students and faculty, where appropriate. In some cases, I would prefer them to other resources within the University setting, but I always documented the encounter and maintained it in a confidential file. Where appropriate follow-up attempt to ensure the issues or concerns would be addressed.
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 positive parameters in teaching can increase motivation in students?
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There are many good responses here. One that I did not see in the thread is that to increase student motivation we must acknowledge improvement at any level. When we limit ourselves to rewarding for ability, we reach no one but the top students. As educators, our job it to move all students forward. I have 26 years experience and of the multitude of "motivation" systems I have tried, none works as well as rewarding for improvement. These improvements might be academic, social, or behavioral - I focus on what the child needs most to be a contributing member of our group. In my classroom I use stars as acknowledgment and a simple color system where students move up levels as they earn their stars (I teach elementary.) Motivation needs to be intrinsic therefore there are no extrinsic rewards in my classroom. I urge you to look at the work of Daniel Pink - specifically his video or book called Drive (available on YouTube). It gives great information about motivation, reward systems, and human nature. 
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I'd like to start an online lab notebook that is completely open and readable, shared with lab assistants and the world (explained on wikipedia: https://en.wikipedia.org/wiki/Open_notebook_science).  I'd also really like a whole online system for lab management- project organizing, sharing multiple notebooks and datasets.. Any suggestions?  I work in genetics and ecology but I think the system could be from any field.  Thanks!
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Thanks Luka!
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APP seems to be the only system used in the UK schools? what about the other curricula? how are the using students' assessment data to help them achieve to their fullest potential.
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Have you attempted to use the Student Involved Data Use-SIDU? I am in the process of putting up a data wall in my classroom and I am going to give my students a number rather than their name. They will have a visual of what their strengths and weaknesses are and hopefully take responsibility on focusing on what they need to work on.
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I consider student self assessment has a vital importance in assessment processes.
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Here is a nice paper to help you out as you explore this further - put together by Ontario's government.
Additionally, in my own classroom I use student inventory assessments frequently to check students' perceived comprehension and areas of challenge as compared with actual comprehension and areas of challenge based on cognitive assessments.  This comparison helps in coaching students to improve their own ability to direct their learning, rather than to be guided all the time.
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hi, I'm lookingfor research on effect of physical education for colleage student. Thanks in advance
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Thaks for your reply Prof. mahajan..iam looking for effect pe to healt active life style..esp3cially for college student. Thank you..i really appreciate your help.
Thankz for your reply Prof  Szabo...your journal is very good refference for me. May I have your e-mail?.
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I am currently working on a project to identify, develop and disseminate best practice in supporting undergraduate, honours and coursework dissertation supervision (see http://www.dissertationsupervision.org). I’m seeking resources and tools that may be useful to supervisors and/or students facing supervision issues please. I’d welcome any suggestions. Full attribution will be made for any contributions.
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Thanks Debra
Cheers
Lynne
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I'm interested in the academic perspective of students completing their thesis alongside or within a company (not) connected to the university. If you have any comments relating to the questions below I would love to hear them.
1. Does your university offer the opportunity for students to work with companies in their research?
2. Is the quality of work done generally equal/above/below when compared to the traditional approach?
3. Have you encountered problems when a student has done research with a company?
4. Is there a need for platforms such as: http://matchmythesis.com/?
5. Are there any experiences where this has been a positive experience?
6. Related comments.
All discussion is welcome, thanks.
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Several of the universities I work with are happy for doctoral students to work with companies, and students are often also happy, particularly if the company is paying their fees. This can be anything from a great partnership to a disaster. In my experience, problems most commonly arise when (a) different partners have different expectations and communication is not good, (b) a student agrees to investigate a research question which is not sufficiently close to their heart to carry them through the lengthy and complex doctoral process, or (c) changes within the company or in the wider world cause the company to lose interest in the student's research during the process. Match My Thesis looks like a potentially useful starting point, though I haven't been able to check it out thoroughly as I don't want to register on the site.  But I think support during the whole process might also be useful. The doctoral student-supervisor relationship can be difficult to manage in itself, and when you throw a company into the mix, whose main interest is its bottom line, that adds a whole new layer of complexity. I have heard a great deal more about problems than about positive experiences, though that may be because people talk more about their problems than about their positive experiences. The positive experiences I've heard about have been those where there has been some measure of support throughout, such as through Knowledge Exchange Partnerships in the UK.
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The core of postgraduate supervision is feedback by the supervisor. How do you achieve effective feedback in the supervisory process?
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There are countries and cultures, institutions and societies where the supervisor's word is not to be challenged. This creates problems in getting the student to be a creative, efficient self-starter and an independent, critical researcher.
My key argument always is that the supervisor and supervisee need to discuss the expected relationship beforehand. Clear the air.
Certainly the supervisor-supervisee relationship must be rewarding both ways to be effective, satisfying and continuing. I would hazard a guess that misunderstandings and mistaken expectations about roles are the major cause of research student burn-out and drop-out.
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I have a report to do about what would I change about my university, related to IT.
During an exam it's not that difficult to talk to other students especially in a big lecture hall. Is there a way for professors to minimize the amount of cheating on an exam? What IT software could they use instead of making multiple tests?
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To stop cheating in exams, you have to think like a criminal: What is the weakest link that a criminal would take advantage of? Talking? tossing notes to each other? Taking unsupervised toilet breaks? Taking crib notes into the exam hall? Taking the exam on behalf of a friend? Touching different things to indicate A) B) C) D) or E) to the student behind?
Assume that all students know how to Google and have found cheating sites. A million students have seen this site:
It seems as though IT will not help the weakest link! However, I would propose on-line exams that generate and give different questions to each student to reduce the chances of cheating.
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Considering that you are the main supervisor, and that you help the student not only with his/her research, but also with the writing of the thesis, have you ever jumped into numbers and summed how many hours you spend with the entire process (for one single student)?
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The obvious variability is:
*Student's research and writing ability.
*Student's independence.
*Student and supervisor's familiarity with the topic.
*Strength of relationship between supervisor and student.
My actual figures:
From 52 hours for supervision including help in panel-beating the
thesis-book, down to 10 hours for helping only with the panel-beating.
So if the student was an excellent writer, then the research-only part would amount to 42 hours.
A university that I once worked for allowed a nominal, round number of
50 hours of supervision time per year per full-time Masters by dissertation student, plus 20 hours for examining the thesis-book.
For a full-time student finishing in the minimum time of 2 years, then
the grand total per masters student would nominally be 120 hours.
I hope this helps.