Muhammad Waleed Tahir

University of Management and Technology | UMT · Mass Communication

In this trial, a 3 × 2 factorial design was implemented with dietary treatments consisting of Diet-1 (1.00% calcium [Ca], 0.45% available phosphorus [P]), Diet-2 (0.80% Ca, 0.35% P), and Diet-3 (0.70% Ca, 0.30% P), alongside two phytase levels: 0 and 5,000 FTU/kg. A total of 540 Ross-308 broilers were used. Significant improvements (P < 0.05) in bo...

We hypothesized that both performance and bone mineralization would show improvements when cholecalciferol supplementation was increased above the recommended NRC (1994) [Nutrient requirements of poultry, 9th rev. ed. Washington, DC: National Academy Press] level. In this study, male Ross 308 chickens (n = 540) were supplemented with diets containi...

The study investigated the effects of supplementing broiler diets with poppy (Papaver somniferum L.) seed meal (PSM) on growth performance, nutrient digestibility, faecal microbiota, and blood profiles. A total of 250 unsexed 1 d old broilers were allocated to five distinct treatment groups. PSM was incorporated into the diets at varying levels: 0...

Spatial perception is a key task in several machine intelligence applications such as robotics and computer vision. In general, it involves the nonlinear estimation of hidden variables that represent the system’s state. However, in the presence of measurement outliers, the standard nonlinear least squared formulation results in poor estimates. Seve...

In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated. Outliers in data arise due to many reasons like sensor malfunctioning, environmental behaviors, communication glitches, etc. Moreover, noise correlation emerges in several real-world applications e.g. sensor networks, radar dat...

Three Ca-P deficient diets viz., Diet-1 (0.85%, 0.35%), Diet-2 (0.75%, 0.30%) and Diet-3 (0.65%, 0.25%) were prepared and supplemented with either bacterial or fungal origin phytase enzymes and were compared with a control diet (1.0% and 0.45%). A total of 280 broiler (Ross 308) chicks were randomly allocated into 7 treatments having 4 replicates o...

The availability of suitable feedstuffs for poultry nutrition is a significant challenge faced by the global poultry production industry. This issue has been exacerbated by the shift towards using grains for biofuel production, leading to a subsequent rise in feedstuff prices. The study aimed to assess the impact of different levels of dried date w...

Logistic hubs play a pivotal role in the last-mile delivery distance; even a slight increment in distance negatively impacts the business of the e-commerce industry while also increasing its carbon footprint. The growth of this industry, particularly after Covid-19, has further intensified the need for optimized allocation of resources in an urban...

Any policy-level decision-making procedure and academic research involving the optimum use of resources for development and planning initiatives depends on accurate population density statistics. The current cutting-edge datasets offered by WorldPop and Meta do not succeed in achieving this aim for developing nations like Pakistan; the inputs to th...

In this article, we consider the problem of outlier-robust state estimation where the measurement noise can be correlated. Outliers in data arise due to many reasons like sensor malfunctioning, environmental behaviors, communication glitches, etc. Moreover, noise correlation emerges in several real-world applications e.g. sensor networks, radar dat...

Accurately predicting the demand for ride-hailing services can result in significant benefits such as more effective surge pricing strategies, improved driver positioning, and enhanced customer service. By understanding the demand fluctuations, companies can anticipate and respond to consumer requirements more efficiently, leading to increased effi...

This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas. The key feature of the proposed classifier is filtering out the built-up region using spectral indices followed by random forest classification on the remaining mask with carefully selected features. Us...

This study was designed to assess the effect of cinnamon powder (CNP) and turmeric powder (TP) on growth performance, antioxidant status, liver function, meat quality and lactate dehydrogenase activity of broiler chickens under heat stress conditions. A total of 200, one day old as-hatched broiler chickens (ROSS 308) were randomly allotted into fiv...

Spatial perception is a key task in several robotics applications. In general, it involves the nonlinear estimation of hidden variables that represent the state of the robot/environment. However, in the presence of outliers the standard nonlinear least squared formulation results in poor estimates. Several methods have been considered in the litera...

Low-rank and sparse decomposition based methods find their use in many applications involving background modeling such as clutter suppression and object tracking. While Robust Principal Component Analysis (RPCA) has achieved great success in performing this task, it can take hundreds of iterations to converge and its performance decreases in the pr...

p>In this paper, we consider the problem of removing clouds and recovering ground cover information from remote sensing images by proposing novel framework based on a deep unfolded and prior-aided robust principal component analysis (DUPA-RPCA) network. Clouds, together with their shadows, usually occlude ground-cover features in optical remote sen...

p>In this paper, we consider the problem of removing clouds and recovering ground cover information from remote sensing images by proposing novel framework based on a deep unfolded and prior-aided robust principal component analysis (DUPA-RPCA) network. Clouds, together with their shadows, usually occlude ground-cover features in optical remote sen...

Little information is available on silver nitrate as alternative to antibiotic in poultry diet. The aim of the present research was to evaluate the effects of different levels of silver nitrate on the production performance, bacterial count and intestinal histology of broilers under E. coli infection. A total of 800 broilers were assigned to 5 expe...

Urban air quality is increasingly becoming a cause for concern for the health of the human population. The poor air quality is already wreaking havoc in major cities of the world, where serious health issues and reduction of average human life by a factor of years are reported. The air quality in developing countries can become worse as they underg...

Considering a common case where measurements are obtained from independent sensors, we present a novel outlier-robust filter for nonlinear dynamical systems in this work. The proposed method is devised by modifying the measurement model and subsequently using the theory of Variational Bayes and general Gaussian filtering. We treat the measurement o...

The present study was conducted to evaluate the in vitro efficacy of Moringa oleifera against E. coli infection and in vivo effect of M. oleifera on the growth, carcass quality, heterophil to lymphocyte ratio (H:L) and digestibility of nutrients in broilers infected with E. coli (1.5 × 10⁹ CFU/ml). A total of 350 d old broiler chicks (Hubbard) were...

Clouds, together with their shadows, usually occlude ground-cover features in optical remote sensing images. This hinders the utilization of these images for a range of applications such as earth observation, land-cover classification and urban planning. In this work, we propose a deep unfolded and prior-aided robust principal component analysis (D...

State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the standard computational models for sensor measurements can be violated in practice due to different types of data abnormalities such as outliers and biases. In this work, we f...

State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the standard computational models for sensor measurements can be violated in practice due to different types of data abnormalities such as random and gross errors. In this work,...

In this trial, a 3 × 2 factorial design with different dietary crude protein levels (CP, 17, 19 and 21%) and two levels of exogenous protease (0 and 30,000 IU/kg) was used. A total of 540 two-week old broilers (Ross-308) was randomly allocated to experimental diets over 15–28 days of age. The interaction between dietary protein levels and enzyme su...

The plants originated from an agroforestry system have gained immense importance in livestock health and production. The trial was planned to examine the effects of Moringa olei-fera leaf extract (MLE) supplementation on the performance, blood metabolites, immunity and lipid peroxidation in broiler chicks. A total of 350 day old broiler chicks were...

The plants originated from an agroforestry system have gained immense importance in livestock health and production. The trial was planned to examine the effects of Moringa oleifera leaf extract (MLE) supplementation on the performance, blood metabolites, immunity and lipid peroxidation in broiler chicks. A total of 350 day old broiler chicks were...

This study was conducted to study the effect of protease as well as three dietary crude protein levels on growth and nutrient digestibility in broilers. The broiler chickens (n = 540) were assigned to six dietary treatments with six replicates. Three dietary crude protein (CP) levels (17, 19, and 21%) along with two levels of protease (0 and 30,000...

This paper proposes an online scheme for state estimation of a generic class of non-linear dynamical systems, in the presence of abnormal measurement data from sensors. We thoroughly illustrate why the performance of standard recursive Bayesian inference degrades in the presence of any measurement distortion. After demonstrating how different abnor...

In this letter, we consider the problem of dynamic state estimation (DSE) in scenarios where sensor measurements are corrupted with outliers. For such situations, we propose a filter that utilizes maximum a posteriori estimation in the extended Kalman filtering framework to identify and discard the outlier-ridden measurements from a faulty sensor...

The study was conducted to determine the effect of three harvest maturity stages on nutritive value of oat hay and milk yield and composition. Total of 9 Holstein Friesian lactating cows with nearly similar lactation stage and body weight were fed on three rations with proportions of 40% oat hay from different maturity stages i.e. boot, flowering a...

a b s t r a c t Heavy metal stress has been considered as a big threat for the production of oilseed rape (Brassica napus L.). This study tested the hypothesis that 5-aminolevlinic acid (ALA) has ameliorating role under lead (Pb)-toxicity in oilseed rape. Plants were grown hydroponically in greenhouse conditions under three levels of Pb (0, 100, an...

a b s t r a c t Heavy metal stress has been considered as a big threat for the production of oilseed rape (Brassica napus L.). This study tested the hypothesis that 5-aminolevlinic acid (ALA) has ameliorating role under lead (Pb)-toxicity in oilseed rape. Plants were grown hydroponically in greenhouse conditions under three levels of Pb (0, 100, an...