Here, we train robust and actual models as it serves as a foundation for your AI dataset for machine learning. Our programmers develop your AI projects with source code cautiously. We consider your interests and skills, while guiding you on your project as we are always aware of the changes in the technologies, we have all the available resources and tools. We focus to deliver more exact and relevant search results for your AI computer science projects by providing every scholar with a more individualized research experience.
The characteristics of a good AI dataset that we follow are:
- Sufficiently Large
For deep learning larger datasets, we will yield models with better generalization capabilities. The amount of the data that is essential differs by the range of problem and model of the architecture.
- Variability and Diversity
The dataset must include all the various aspects and details of the real-world scenario as it aims to simulate here, we guarantee that the model can effectively induce across various circumstances.
- Balanced
For tasks that involves classification, it is vital that the dataset is not skewed towards a specific class. The overrepresented class result in biased. So to address this issue, numerous techniques such as oversampling, under sampling, or generating synthetic data are employed to stabilise the dataset.
- Relevant
The data will be related to the subject at hand. As unrelated data has the potential to introduce nosiness and reduce the accuracy of the model.
- Accurate
Mislabeling or incorrect data can divert the training process so the dataset should be free from errors.
- Consistent:
Data will be assembled and processed in an even manner to assure steadiness. If there are any variations in the data it may lead to the unplanned acquisition of unsought artifacts by the prescribed model.
- Clean
It is necessary that we must pre-process the dataset to handle the missing values, outliers, and duplicate data points. The model learns from genuine patterns rather than noise or errors so we consider as a crucial step. For accurate and reliable results clean data is vital.
- Timely
The data that is utilized for modelling reflects the current state of the system, mainly in domains that are quickly evolving.
- Rich in Feature
A wide-ranging of features will promote the model’s ability to understand various sides of the data. But we must maintain a delicate balance to ease the potential presence of irrelevant features to introduce noise.
- Anonymized and De-identified
In order to safeguard individual privacy and follow data protection regulations, it is necessary to unclassify dataset that covers personal or sensitive information.
- Structured and Well-documented
Metadata and documentation alongside the dataset must be included, here we provide a explanation of its features, collection methods, pre-processing steps and any other related data.
- Free from Bias:
A high-quality dataset should not introduce biases. Hence, we conduct regular audits and utilise fairness tools and frameworks so it can help in the identification and modification of biases.
- Segmented
It is necessary to partition the dataset into distinct training, validation and test sets. This guarantees the valuation of the model’s effectiveness on unseen data, thus offering an estimate of its performance in real-world scenarios.
Thus, by following the above characteristics we can contribute models that are effective, fair, and reliable for a good dataset. Topic selection is a crucial step for all scholars don’t worry we will assist you in leading topics. We frame unique research topics for computer science that are untouched and it will have a huge impact in your research career.
ARTIFICIAL INTELLIGENCE COMPUTER SCIENCE RESEARCH PROJECT TOPICS & IDEAS
Moreover, after guiding you in selecting the specified AI computer science topics, we guide about the research methods that we are going to use, the algorithms that our developers will implement and discuss about the results and its conclusions. Further we publish your paper in leading journals as IEEE, MDPI, INDERSCIENCE, SCOPUS etc.…
- An efficient algorithm for fault analysis on the basis of artificial intelligence
- Applications of artificial intelligence for meeting network management challenges in the 1990s
- Artificial intelligence algorithms for the recognition of PD-generating defects in rotating machines
- Robust design of PID power system stabilizer in multi-machine power system using artificial intelligence techniques
- Bigdata Enabled Realtime Crowd Surveillance Using Artificial Intelligence And Deep Learning
- Platooning of Autonomous Vehicles with Artificial Intelligence V2I Communications and Navigation Algorithm
- Designed strength identification of concrete by ultrasonic signal processing based on artificial intelligence techniques
- About the Use of Artificial Intelligence Methods in Aviation
- Artificial intelligence and waveform diversity
- Artificial intelligence and sensor fusion
- Gaining and maintaining student attention through competitive activities in cooperative learning A well-received experience in an undergraduate introductory Artificial Intelligence course
- Toward Trustworthy and Responsible Artificial Intelligence Policy Development
- Conversational Agents to Democratize Artificial Intelligence
- The opacity of artificial intelligence makes it hard to tell when decision-making is biased
- Automatic meal planning using artificial intelligence algorithms in computer aided diabetes therapy
- An artificial intelligence approach to the behavioural modelling of asynchronous sequential logic circuits
- Read Disturb Evaluations of 3D NAND Flash for Highly Read-Intensive Edge-Computing Inference Device for Artificial Intelligence Applications
- Operations research and artificial intelligence cooperation to solve scheduling problems: the OPAL and OSCAR systems
- Sustainability and Artificial Intelligence: Necessary, Challenging, and Promising Intersections
- Data-driven Modelling of Engineering Systems with Small Data, a Comparative Study of Artificial Intelligence Techniques
Milestones
MILESTONE 1: Research Proposal
Finalize Journal (Indexing)
Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.
Research Subject Selection
As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.
Research Topic Selection
We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other
Literature Survey Writing
To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)
Case Study Writing
After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.
Problem Statement
Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.
Writing Research Proposal
Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)
MILESTONE 2: System Development
Fix Implementation Plan
We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.
Tools/Plan Approval
We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.
Pseudocode Description
Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.
Develop Proposal Idea
We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.
Comparison/Experiments
We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.
Graphs, Results, Analysis Table
We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.
Project Deliverables
For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.
MILESTONE 3: Paper Writing
Choosing Right Format
We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.
Collecting Reliable Resources
Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.
Writing Rough Draft
We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources
Proofreading & Formatting
We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on
Native English Writing
We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.
Scrutinizing Paper Quality
We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).
Plagiarism Checking
We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.
MILESTONE 4: Paper Publication
Finding Apt Journal
We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.
Lay Paper to Submit
We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.
Paper Submission
We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.
Paper Status Tracking
We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.
Revising Paper Precisely
When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.
Get Accept & e-Proofing
We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.
Publishing Paper
Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link
MILESTONE 5: Thesis Writing
Identifying University Format
We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.
Gathering Adequate Resources
We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.
Writing Thesis (Preliminary)
We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.
Skimming & Reading
Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.
Fixing Crosscutting Issues
This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.
Organize Thesis Chapters
We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.
Writing Thesis (Final Version)
We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.
How PhDservices.org deal with significant issues ?
1. Novel Ideas
Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.
2. Plagiarism-Free
To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.
3. Confidential Info
We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.
- Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
- Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.
CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.
4. Publication
Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.
5. No Duplication
After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.
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