Computational Intelligence

Character recognition has been widely understood as a means of mechanizing the process of understanding text in the written form to facilitate fast and efficient use of text. Indeed, text existing all around us presents information for peoples. However, tourists in foreign countries are unable to understand what indicate text on road signs, shop names, product advertisements, posters, etc. when they are unfamiliar with the native language of the visited country.


The ADAB database (The Arabic handwriting Data Base) was developed to advance the research and development of Arabic on-line handwritten systems. This database is developed in cooperation between the Institut fuer Nachrichtentechnik (IfN) and Research Groups in Intelligent Machines, University of Sfax, Tunisia. The text written is from 937 Tunisian town/village names. A pre-label assigned to each file consists of the postcode in a sequence of Numeric Character References, which stored in the UPX file format.


The data collection was carried out over several months and across several cities including but not limited to Quetta, Islamabad and Karachi, Pakistan. Ultimately, the number of images collected as part of the Pakistani dataset were, albeit in a very small quantity. The images taken were also distributed across the classes unevenly, just like the German dataset. All the 359 images were then manually cropped to filter out the unwanted image background data. All the images were sorted into folders with names corresponding to the label of the images.


We study the ability of neural networks to steer or control trajectories of dynamical systems on graphs, which we represent with neural ordinary differential equations (neural ODEs). To do so, we introduce a neural-ODE control (NODEC) framework and find that it can learn control signals that drive graph dynamical systems into desired target states. While we use loss functions that do not constrain the control energy, our results show that NODEC produces control signals that are highly correlated with optimal (or minimum energy) control signals.

This open access webpage has all miscellaneous data related to Medical, BioEngineering.  This page has data of processed X-Rays, CT Scans, MRI, ECG, heart and breathing patterns, sounds, data and design of ß-Biomedical machines.

This is an open access, so everything  can be downloaded freely after login (free signup). You have to click on 'Title'. Datasets are helpful to doctors in diagnosing and to pharmacologists in making medicine or machine/therapy.


This dataset is in support of my Research paper 'Design of 6-DoF Combat Quadcopter'.


The system is basic, on existing designs.It is very simple for any graduate,degree holder.


Related Claim : Novel ß Non-Linear Theory


This open- access page is especially for 'Female' ß-Bio models of Self-Claimed advancements, Research papers and computer models proposed by me.

I have shown in video and in papers, these giving results as per clinical textbooks & expect these to be useful, particularly when computer has to diagnose or to make medicine or machine/therapy.

Models shared only for humanitarian purposes, Can be used by Clinical Doctors or Pharmacologists or Researchers under License CC-BY. Make sure you have read Caution.

I have shown in video and in papers, these giving results as per clinical textbooks & expect these to be useful, particularly when computer has to diagnose or to make medicine or machine/therapy.


This dataset is in support of my 3 Research papers-'Geometrical Insight on Sinusoidal Waveform: Part-I','Geometrical Insight on Sinusoidal Waveform: Part-II' and 'Geometrical Insight on Sinusoidal Waveform: Part-III'

PrePrint  : 

  • Part I :  
  • Part II : 

The world faces difficulties in terms of eye care, including treatment, quality of prevention, vision rehabilitation services, and scarcity of trained eye care experts. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment. One challenge that limits the adoption of computer-aided diagnosis tool by ophthalmologists is the number of sight-threatening rare pathologies, such as central retinal artery occlusion or anterior ischemic optic neuropathy, and others are usually ignored.