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Kano Undergraduates Publish Paper On Artificial Intelligence

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1. Adamu Lawan 2. Muhammad Lawan 3. Ahmad Dikko Umar 4. Abba Mukhtar bala

 

 

Four Kano Undergraduates who attended and graduated from Yusuf Maitama Sule North-West University in Kano have published a paper on artificial intelligence.

The title of the paper is “Long Short Term Memory And Non-Linear Autoregressive Models For Prayer Time Prediction”

 

The graduates are Adamu Lawan, Muhammad Lawan, Ahmad Dikko Umar, Abba Mukhtar Bala.

The paper’s abstract is as follows

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Abstract:since the advancement of Artificial Neural Network (ANNs), many studies have been proposed in the past few decades for forecasting purposes. Time-series applications have been applied in areas such as stocks, electricity, and weather prediction. The role of time in conducting prayer cannot be over-emphasized. Muslims must perform each prayer at its stipulated time for it to be valid. But, overall these years, nothing has been done yet about prayer time prediction. In this paper, the Long Short-Term Memory (LSTM) of Recurrent Neural Network (RNN) models and Non-linear Autoregressive (NAR) models are utilized to exploit the use of time series application in Kano state prayer time prediction. The models mainly focus on collecting Kano state prayer times from prior years to predict future prayer times for three prayers (noon prayer, sunset prayer, and evening prayer). The LSTM training algorithm for the LSTM model, the Bayesian Regularization Neural Network (BRNN) algorithm, and the Levenberg-Marquardt (LM) algorithm for the NAR model were the state-of-the-art algorithms used in training the models. After that, a comprehensive comparative analysis is conducted between the algorithms to determine the best performing algorithm. Finally, the models were tested with a dataset from the Kano state shari’ah commission for prayer time from 2013–2020, for three prayers (noon prayer, sunset prayer, and evening prayer). The accuracy of the result shows that LSTM and NAR models could be applied to prayer time prediction and obtain decent accuracy.”

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The paper was published by the Journal of 2021 6th International Conference on Recent Trends on Electronics, Information, communication and Technology based in India.

The publication of the paper by the undergraduates who bagged Bsc in computer science from North-West University Kano in the year 2019 is seen by many as a commendable effort which is mostly not found among many Nigerian University graduates when the issue of brain drain and the crisis of underfunding is rocking the university system.

The Nigeria Tracker Communications publishers of NIGERIAN TRACKER online Newspaper and Open Source community Africa (OSCAR Kano) will soon convene a virtual conference where the graduates will deliberate on how they were able to publish the paper in an international journal.

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JAMB Arrests Two, Parent over Result Falsification

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By Yusuf Danjuma Yunusa

The Joint Admissions and Matriculation Board has announced the arrest of two candidates and a parent for falsifying 2026 Unified Tertiary Matriculation Examination results using Artificial Intelligence and other electronic tools.

The disclosure came as the board released scores for 632,788 candidates who sat the examination on Thursday, April 16.

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JAMB spokesperson, Fabian Benjamin, in a statement, said the suspects were apprehended for manipulating official SMS result notifications to fabricate or alter scores with the intent to deceive others, including parents and guardians.

“Currently, two candidates and one parent are in custody for engaging in result falsification using AI and other electronic means,” the statement read.

Benjamin warned that such conduct constituted a serious criminal offence and that the board would pursue all culpable persons to the full extent of the law.

He also cautioned candidates against tampering with result messages from JAMB’s official SMS platforms, 55019 and 66019.

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Group asks Governor Yusuf to appoint Ganduje’s daughter as Kano Deputy Governor

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A group has called on the Governor of Kano State to appoint the daughter of former Governor of Kano, Dr. Asiya Balaraba Abdullahi Umar Ganduje, as Deputy Governor.

The group, known as Haɗin Kan Jam’iyyar APC ‘Yan Dangole from Kano State, expressed its support for Dr. Asiya Ganduje to become the Deputy Governor of Kano State.

According to the group, Dr. Asiya Ganduje is a woman committed to serving the people, especially the youth, through various programs that have improved their lives.

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They stated that she has demonstrated competence and dedication in politics, contributing to opportunities for youth and women in areas such as education, skills acquisition, and self-reliance.

The group also emphasized that Dr. Asiya Ganduje possesses compassion and vision for improving the lives of citizens, while encouraging women to participate in politics and economic activities.

Furthermore, they praised her cooperative character and loyalty to party principles, saying this has made her a role model for women and youth.

In conclusion, the group declared that her appointment as Deputy Governor would help bring progress, unity, and prosperity to the people of Kano State.

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UTME 2026: JAMB to Release Day 1 Exam Results Today Before Midnight

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By Yusuf Danjuma Yunusa

The Joint Admissions and Matriculation Board (JAMB) has announced that the results of all candidates who sat for the 2026 Unified Tertiary Matriculation Examination (UTME) on Thursday, April 16, 2026, will be released on Friday, April 17.

Spokesperson of the board, Fabian Benjamin, announced this in a post on X, noting that an announcement would be made when the results are available.

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“This is to inform all candidates who sat for the 2026 UTME on Thursday, 16th April 2026, that their results will be released today before midnight. An official announcement will be made to the public and posted on this page as soon as the results are available. Thank you,” he wrote.

Scheduled to run through April 22, the examination is structured into four daily sessions beginning at 7:30 a.m. and ending at 6:00 p.m., a framework designed to manage the large volume of candidates and reduce congestion at Computer-Based Test (CBT) centres.

This year, nearly 2.2 million candidates are participating across 966 accredited centres, each expected to meet operational benchmarks such as functional computer systems, stable internet connectivity and electricity as well as adequately trained personnel.

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