This article introduces a study on optimizing LEACH parameters to improve the efficiency of wireless sensor networks. The focus of the research is to find the optimal algorithm configuration parameter to maximize the performance and prolong the lifetime of wireless sensor batteries. This study aims to improve the overall energy efficiency of wireless sensor networks by adjusting the LEACH parameters. The results will contribute to the development of more sustainable and energy-e...

Computer Engineering  Technology 

Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the solution of the system or allows for the addressing of even larger systems than otherwise would be possible. Research on this topic dates to the late sixties. In most of these algorithms nodal degree is an important consideration. In the new algorithm, we consider the maximum difference in adjacent node numbers as ...

Software Engineering  Computer Engineering 

Bipolar depression with comorbid obsessive-compulsive disorder (OCD) presents a significant clinical challenge due to its complex symptomatology, unpredictable treatment responses, and high relapse rates. Traditional ap-proaches to treatment planning lack reliable tools for predicting pa-tient-specific outcomes, leaving clinicians with limited options for personal-izing care. This study leverages advanced machine learning (ML), specifical-ly XGBoost, to develop a predictive framework capable of ...

Artificial Intelligence  Psychiatry & Psychology  Computer Engineering 

Accurate prediction of treatment response in bipolar disorder patients with comorbid obsessive-compulsive disorder (OCD) is essential to improving clinical outcomes and minimizing ineffective interventions. The complex interplay between bipolar disorder and OCD often complicates pharmacological treatment, leading to inconsistent results. This study aims to leverage machine learning (ML) techniques to develop predictive models that enhance the precision of quetiapine monotherapy outcomes. The pri...

Artificial Intelligence  Psychiatry & Psychology  Computer Engineering 

The treatment of major depressive disorder (MDD) often involves antidepressants, yet non-response to initial therapies remains a significant clinical and economic burden. This research aims to evaluate the comparative efficacy and cost-efficiency of 13 commonly prescribed antidepressants, spanning four major drug classes: SSRIs, SNRIs, NaSSAs, and TCAs. By employing machine learning and simulated patient data, we model non-response rates over two years, highlighting each drug’s cumulative risk t...

Artificial Intelligence  Psychiatry & Psychology  Computer Engineering 

Depressive disorders are complex, multifactorial conditions that exhibit significant variability in treatment response, often influenced by gender differences. This study leverages advanced machine learning (ML) techniques to predict antidepressant response to sertraline and imipramine, addressing the pressing need for personalized treatment strategies. By employing the Synthetic Minority Oversampling Technique (SMOTE), the research overcomes class imbalance—a common limitation in clinical datas...

Artificial Intelligence  Psychiatry & Psychology  Computer Engineering 

Since Bangladesh recently announced the Smart Bangladesh concept, the Government has decided to move its national services online. To that end, they have built websites for each sector, including the Land Ministry, to serve the nation. The initial goal of this step is to ensure that the service is equal and hassle-free in both urban and rural areas of the country. With this modern technological support, almost one hundred percent of the Land Ministry’s office work has shifted to online services....

Computer Engineering  Computer Vision  Information and Communication: Security, Privacy, and Trust 

Traditional medical data collection methods are limited by equipment, space, time and other factors. Data transmission often has delay problems. We focus on wireless sensor network performance optimization OPM (Optimal routing scheme, Parallel computing, Maximum traffic and minimum overhead) algo-rithm. With CC2530 single-chip microcomputer as microcontroller and ZIGBEE as RF antenna, we build a wireless sensor network, obtain data from the serial port to transmit it to the cloud computing platf...

Software Engineering  Computer Engineering 

These days, image processing is crucial, particularly when it comes to enhancing brightness, contrast, and image quality. The goal of this research is to develop three distinct methods for manipulating images and evaluating them using histogram, entropy, and PSNR—two image-specific metrics. Frame Fusion produces excellent results in image contrast, brightness, and enhancement through the standards of PSNR, histogram, and entropy. In comparison to its competitors, the technology performed better ...

Computer Engineering 

In this paper, an improved genetic algorithm with delay constraint was designed. When initializing the population, a greedy strategy was adopted to ensure that there were enough excellent genes in the initial population, a normal distribution ordering selection strategy was adopted when selecting the next generation, so that high-quality chromosomes have a greater probability of being selected, and an adaptive cross-mutation strategy was proposed to achieve dynamic probability when cross-mutatio...

Computer Engineering  Cloud Computing