The problem of existing modern path loss minimization AI models borders on the aspect of needless complexity and unwarranted use of metaphors. This research proposes an alternative strategy that is purely mathematical based and very simple to apply. The strategy employs the Rao-type optimizer (RaoO) and the Sine Cosine Optimizer (SCO) proposed. The approach is applied to modeling a case study dataset with the integration of Cost-232 Hata model in an error-loss minimization objective. The results agree with those reported in similar studies and using available case data. The results further show that the SCO approach gives better fit with lower path loss when compared to the RaoO.

KEYWORDS:- Dynamic Programming, GSM, Path loss, MetaphorlessOptimization

The comparative studies of the physicochemical and functional properties of black, brown and white (local and improved varieties) of sesame seeds grown in Nigeria were carried out. The Physicochemical and functional properties were determined using standard analytical methods of AOAC. The results indicated that the physicochemical and functional properties varied with colors of the seeds. The physical analysis for the appearance of 1000 seed weight, seed volume and true density for black, brown and white ranged from 0.92-2.91, 3.13-10.56 and 0.22-0.31 respectively. The values for proximate analysis ranged from 2.82-4.5%, 19.67-28.42%, 8.23-31.12% 87-48.02%, 7.32-20.42 %, 3.43-5.37% for moisture, protein, fibre, fat, ash and carbohydrate contents respectively........

KEYWORDS:- Sesame seed varieties, seed colour, food formulation, nutritional properties.

The advancement of Internet of Things (IoT) technology offers significant potential for improving safety and efficiency in various industrial applications. This project presents the development and implementation of an automated blasting system designed for the mining industry, utilizing IoT technology to remotely trigger the blasting process. The system integrates several key components: Node MCU for wireless communication, Relay Module for high-voltage control, a 12V Battery for power supply, and Arduino for managing the electronic detonator. The primary objective was to create a reliable and efficient remote blasting system that minimizes human intervention and enhances operational safety.......

KEYWORDS:- Automated, Blasting, System, Internet of Things.

Poverty detection remains a critical challenge in socio-economic development, necessitating innovative, scalable, and efficient methodologies for accurate assessment and intervention. Traditional poverty assessment techniques, such as household surveys and economic censuses, suffer from limited scalability, delayed updates, and inherent biases, reducing their effectiveness in dynamic socio-economic landscapes. Advances in Machine Learning (ML) and big data analytics offer promising alternatives by integrating multimodal data sources, including geospatial information, mobile network metadata, financial indicators, and social media analytics. However, existing ML-based poverty detection models face challenges in real-time adaptability......

KEYWORDS:- Machine Learning (ML), Poverty Detection, Multidimensional Data-Driven Approach (MDDA), Multimodal Data Fusion, Hyperparameter Optimization, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bias Mitigation, Real-Time Data Processing, Fairness-Aware AI, Socio-Economic Analysis.